Overview

Dataset statistics

Number of variables62
Number of observations152
Missing cells3676
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.8 KiB
Average record size in memory496.8 B

Variable types

Numeric14
Categorical39
Unsupported9

Alerts

airdate has constant value "2020-12-10" Constant
_embedded.show.dvdCountry.name has constant value "Korea, Republic of" Constant
_embedded.show.dvdCountry.code has constant value "KR" Constant
_embedded.show.dvdCountry.timezone has constant value "Asia/Seoul" Constant
url has a high cardinality: 152 distinct values High cardinality
name has a high cardinality: 113 distinct values High cardinality
_links.self.href has a high cardinality: 152 distinct values High cardinality
_embedded.show.url has a high cardinality: 97 distinct values High cardinality
_embedded.show.name has a high cardinality: 96 distinct values High cardinality
_embedded.show.premiered has a high cardinality: 73 distinct values High cardinality
_embedded.show.officialSite has a high cardinality: 85 distinct values High cardinality
_embedded.show.image.medium has a high cardinality: 95 distinct values High cardinality
_embedded.show.image.original has a high cardinality: 95 distinct values High cardinality
_embedded.show.summary has a high cardinality: 79 distinct values High cardinality
_embedded.show._links.self.href has a high cardinality: 97 distinct values High cardinality
_embedded.show._links.previousepisode.href has a high cardinality: 97 distinct values High cardinality
image.medium has a high cardinality: 57 distinct values High cardinality
image.original has a high cardinality: 57 distinct values High cardinality
id is highly correlated with _embedded.show.id and 2 other fieldsHigh correlation
season is highly correlated with rating.average and 3 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrageHigh correlation
runtime is highly correlated with _embedded.show.runtime and 2 other fieldsHigh correlation
rating.average is highly correlated with season and 4 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 5 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 4 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.weight is highly correlated with id and 2 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with _embedded.show.runtime and 1 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.network.id and 1 other fieldsHigh correlation
id is highly correlated with _embedded.show.externals.tvrageHigh correlation
season is highly correlated with number and 2 other fieldsHigh correlation
number is highly correlated with season and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded.show.runtime and 3 other fieldsHigh correlation
rating.average is highly correlated with season and 4 other fieldsHigh correlation
_embedded.show.id is highly correlated with rating.average and 2 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 4 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.externals.tvrageHigh correlation
_embedded.show.network.id is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with rating.average and 2 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrageHigh correlation
id is highly correlated with _embedded.show.externals.tvrageHigh correlation
season is highly correlated with rating.average and 2 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrageHigh correlation
runtime is highly correlated with _embedded.show.runtime and 2 other fieldsHigh correlation
rating.average is highly correlated with season and 1 other fieldsHigh correlation
_embedded.show.id is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.externals.tvrageHigh correlation
_embedded.show.network.id is highly correlated with _embedded.show.runtimeHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrageHigh correlation
id is highly correlated with airstamp and 29 other fieldsHigh correlation
season is highly correlated with number and 25 other fieldsHigh correlation
number is highly correlated with season and 29 other fieldsHigh correlation
type is highly correlated with _embedded.show.id and 12 other fieldsHigh correlation
airtime is highly correlated with airstamp and 32 other fieldsHigh correlation
airstamp is highly correlated with id and 40 other fieldsHigh correlation
runtime is highly correlated with season and 31 other fieldsHigh correlation
summary is highly correlated with id and 36 other fieldsHigh correlation
rating.average is highly correlated with airtime and 30 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.url is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.name is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.type is highly correlated with season and 34 other fieldsHigh correlation
_embedded.show.language is highly correlated with id and 37 other fieldsHigh correlation
_embedded.show.status is highly correlated with airstamp and 29 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with season and 33 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with season and 34 other fieldsHigh correlation
_embedded.show.premiered is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.ended is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.officialSite is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.schedule.time is highly correlated with type and 33 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with number and 31 other fieldsHigh correlation
_embedded.show.weight is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with airtime and 29 other fieldsHigh correlation
_embedded.show.network.name is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.network.country.name is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.network.country.code is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.network.country.timezone is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with season and 35 other fieldsHigh correlation
_embedded.show.webChannel.name is highly correlated with id and 42 other fieldsHigh correlation
_embedded.show.webChannel.officialSite is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with id and 34 other fieldsHigh correlation
_embedded.show.externals.imdb is highly correlated with id and 42 other fieldsHigh correlation
_embedded.show.image.medium is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.image.original is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.summary is highly correlated with id and 42 other fieldsHigh correlation
_embedded.show.updated is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show._links.self.href is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show._links.previousepisode.href is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.webChannel.country.name is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.webChannel.country.code is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.webChannel.country.timezone is highly correlated with id and 40 other fieldsHigh correlation
image.medium is highly correlated with id and 38 other fieldsHigh correlation
image.original is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 31 other fieldsHigh correlation
runtime has 18 (11.8%) missing values Missing
image has 152 (100.0%) missing values Missing
summary has 102 (67.1%) missing values Missing
rating.average has 132 (86.8%) missing values Missing
_embedded.show.runtime has 61 (40.1%) missing values Missing
_embedded.show.averageRuntime has 12 (7.9%) missing values Missing
_embedded.show.ended has 82 (53.9%) missing values Missing
_embedded.show.officialSite has 26 (17.1%) missing values Missing
_embedded.show.rating.average has 120 (78.9%) missing values Missing
_embedded.show.network.id has 142 (93.4%) missing values Missing
_embedded.show.network.name has 142 (93.4%) missing values Missing
_embedded.show.network.country.name has 142 (93.4%) missing values Missing
_embedded.show.network.country.code has 142 (93.4%) missing values Missing
_embedded.show.network.country.timezone has 142 (93.4%) missing values Missing
_embedded.show.network.officialSite has 152 (100.0%) missing values Missing
_embedded.show.webChannel.country has 152 (100.0%) missing values Missing
_embedded.show.webChannel.officialSite has 54 (35.5%) missing values Missing
_embedded.show.dvdCountry has 152 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 150 (98.7%) missing values Missing
_embedded.show.externals.thetvdb has 34 (22.4%) missing values Missing
_embedded.show.externals.imdb has 70 (46.1%) missing values Missing
_embedded.show.image.medium has 2 (1.3%) missing values Missing
_embedded.show.image.original has 2 (1.3%) missing values Missing
_embedded.show.summary has 20 (13.2%) missing values Missing
_embedded.show.network has 152 (100.0%) missing values Missing
_embedded.show.webChannel.country.name has 77 (50.7%) missing values Missing
_embedded.show.webChannel.country.code has 77 (50.7%) missing values Missing
_embedded.show.webChannel.country.timezone has 77 (50.7%) missing values Missing
image.medium has 95 (62.5%) missing values Missing
image.original has 95 (62.5%) missing values Missing
_embedded.show._links.nextepisode.href has 139 (91.4%) missing values Missing
_embedded.show.image has 152 (100.0%) missing values Missing
_embedded.show.dvdCountry.name has 151 (99.3%) missing values Missing
_embedded.show.dvdCountry.code has 151 (99.3%) missing values Missing
_embedded.show.dvdCountry.timezone has 151 (99.3%) missing values Missing
_embedded.show.webChannel has 152 (100.0%) missing values Missing
url is uniformly distributed Uniform
summary is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
_embedded.show.network.name is uniformly distributed Uniform
_embedded.show.externals.tvrage is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.genres is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.schedule.days is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network.officialSite is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-06 02:40:22.624695
Analysis finished2022-09-06 02:40:45.487391
Duration22.86 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013395.296
Minimum1864578
Maximum2379928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:45.557566image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1864578
5-th percentile1956934.5
Q11975940.5
median1983904
Q32008440.5
95-th percentile2205972.45
Maximum2379928
Range515350
Interquartile range (IQR)32500

Descriptive statistics

Standard deviation81097.8595
Coefficient of variation (CV)0.04027915415
Kurtosis6.27294269
Mean2013395.296
Median Absolute Deviation (MAD)14521
Skewness2.491656761
Sum306036085
Variance6576862815
MonotonicityNot monotonic
2022-09-05T21:40:45.683004image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19936351
 
0.7%
22287081
 
0.7%
20000551
 
0.7%
20113531
 
0.7%
20152251
 
0.7%
20249131
 
0.7%
20358731
 
0.7%
21253451
 
0.7%
21972801
 
0.7%
22893221
 
0.7%
Other values (142)142
93.4%
ValueCountFrequency (%)
18645781
0.7%
19442151
0.7%
19459151
0.7%
19503661
0.7%
19507001
0.7%
19535181
0.7%
19535191
0.7%
19544541
0.7%
19589641
0.7%
19589651
0.7%
ValueCountFrequency (%)
23799281
0.7%
23571491
0.7%
22893771
0.7%
22893221
0.7%
22364921
0.7%
22287081
0.7%
22156191
0.7%
22059731
0.7%
22059721
0.7%
21972801
0.7%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok
 
1
https://www.tvmaze.com/episodes/2228708/ok-alina-1x12-seksualna-osvita-dla-pidlitkiv-dla-cogo-vona-skolam-okalina-no12
 
1
https://www.tvmaze.com/episodes/2000055/ultimate-note-1x08-episode-8
 
1
https://www.tvmaze.com/episodes/2011353/my-wonderful-roommate-2x08-how-to-reject-male-friends-mind
 
1
https://www.tvmaze.com/episodes/2015225/spalah-1x02-nova-ukrainska-komedia
 
1
Other values (147)
147 

Length

Max length126
Median length104
Mean length76.80263158
Min length58

Characters and Unicode

Total characters11674
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok
2nd rowhttps://www.tvmaze.com/episodes/1988858/sim-for-you-4x20-chanyeols-episode-20
3rd rowhttps://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocek
4th rowhttps://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-20
5th rowhttps://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukova

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok1
 
0.7%
https://www.tvmaze.com/episodes/2228708/ok-alina-1x12-seksualna-osvita-dla-pidlitkiv-dla-cogo-vona-skolam-okalina-no121
 
0.7%
https://www.tvmaze.com/episodes/2000055/ultimate-note-1x08-episode-81
 
0.7%
https://www.tvmaze.com/episodes/2011353/my-wonderful-roommate-2x08-how-to-reject-male-friends-mind1
 
0.7%
https://www.tvmaze.com/episodes/2015225/spalah-1x02-nova-ukrainska-komedia1
 
0.7%
https://www.tvmaze.com/episodes/2024913/el-anesa-farah-2x20-episode-201
 
0.7%
https://www.tvmaze.com/episodes/2035873/the-shore-1x01-the-agony1
 
0.7%
https://www.tvmaze.com/episodes/2125345/jessis-showterview-2020-12-10-ep27-with-yoo-jae-suk1
 
0.7%
https://www.tvmaze.com/episodes/2197280/struggle-meals-1x04-bacon-my-heart1
 
0.7%
https://www.tvmaze.com/episodes/2289322/blippi-2020-12-10-learning-how-to-snowboard-with-blippi-winter-holiday-videos-for-kids1
 
0.7%
Other values (142)142
93.4%

Length

2022-09-05T21:40:45.813280image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok1
 
0.7%
https://www.tvmaze.com/episodes/1981562/volk-1x04-seria-041
 
0.7%
https://www.tvmaze.com/episodes/1998574/mr-right-is-here-1x03-episode-31
 
0.7%
https://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocek1
 
0.7%
https://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-201
 
0.7%
https://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukova1
 
0.7%
https://www.tvmaze.com/episodes/1960727/psih-1x06-opustosenie1
 
0.7%
https://www.tvmaze.com/episodes/1954454/serlok-v-rossii-1x08-serdce-holmsa-ii1
 
0.7%
https://www.tvmaze.com/episodes/1981561/volk-1x03-seria-031
 
0.7%
https://www.tvmaze.com/episodes/1986872/kotiki-1x09-seria-91
 
0.7%
Other values (142)142
93.4%

Most occurring characters

ValueCountFrequency (%)
e952
 
8.2%
-869
 
7.4%
/760
 
6.5%
s751
 
6.4%
t704
 
6.0%
o649
 
5.6%
w502
 
4.3%
a481
 
4.1%
i478
 
4.1%
m435
 
3.7%
Other values (30)5093
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7853
67.3%
Decimal Number1736
 
14.9%
Other Punctuation1216
 
10.4%
Dash Punctuation869
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e952
12.1%
s751
 
9.6%
t704
 
9.0%
o649
 
8.3%
w502
 
6.4%
a481
 
6.1%
i478
 
6.1%
m435
 
5.5%
p428
 
5.5%
d331
 
4.2%
Other values (16)2142
27.3%
Decimal Number
ValueCountFrequency (%)
1358
20.6%
0263
15.1%
2238
13.7%
9201
11.6%
3131
 
7.5%
7125
 
7.2%
8117
 
6.7%
5114
 
6.6%
497
 
5.6%
692
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/760
62.5%
.304
 
25.0%
:152
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-869
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7853
67.3%
Common3821
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e952
12.1%
s751
 
9.6%
t704
 
9.0%
o649
 
8.3%
w502
 
6.4%
a481
 
6.1%
i478
 
6.1%
m435
 
5.5%
p428
 
5.5%
d331
 
4.2%
Other values (16)2142
27.3%
Common
ValueCountFrequency (%)
-869
22.7%
/760
19.9%
1358
9.4%
.304
 
8.0%
0263
 
6.9%
2238
 
6.2%
9201
 
5.3%
:152
 
4.0%
3131
 
3.4%
7125
 
3.3%
Other values (4)420
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII11674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e952
 
8.2%
-869
 
7.4%
/760
 
6.5%
s751
 
6.4%
t704
 
6.0%
o649
 
5.6%
w502
 
4.3%
a481
 
4.1%
i478
 
4.1%
m435
 
3.7%
Other values (30)5093
43.6%

name
Categorical

HIGH CARDINALITY

Distinct113
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Episode 1
 
7
Episode 4
 
6
Episode 6
 
6
Episode 3
 
6
Episode 2
 
5
Other values (108)
122 

Length

Max length76
Median length69
Mean length16.92763158
Min length6

Characters and Unicode

Total characters2573
Distinct characters133
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)65.1%

Sample

1st rowПодарок
2nd rowChanyeol's Episode 20
3rd rowАленький цветочек
4th rowСерия 20
5th rowИрина Безрукова

Common Values

ValueCountFrequency (%)
Episode 17
 
4.6%
Episode 46
 
3.9%
Episode 66
 
3.9%
Episode 36
 
3.9%
Episode 25
 
3.3%
Episode 83
 
2.0%
Episode 73
 
2.0%
Episode 53
 
2.0%
Episode 203
 
2.0%
Episode 103
 
2.0%
Other values (103)107
70.4%

Length

2022-09-05T21:40:45.936101image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode63
 
13.4%
112
 
2.5%
ho9
 
1.9%
9
 
1.9%
27
 
1.5%
and7
 
1.5%
47
 
1.5%
37
 
1.5%
the6
 
1.3%
66
 
1.3%
Other values (265)338
71.8%

Most occurring characters

ValueCountFrequency (%)
319
 
12.4%
e181
 
7.0%
o155
 
6.0%
i148
 
5.8%
s111
 
4.3%
a111
 
4.3%
d98
 
3.8%
E83
 
3.2%
r82
 
3.2%
p80
 
3.1%
Other values (123)1205
46.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1662
64.6%
Uppercase Letter399
 
15.5%
Space Separator319
 
12.4%
Decimal Number134
 
5.2%
Other Punctuation48
 
1.9%
Dash Punctuation4
 
0.2%
Math Symbol2
 
0.1%
Open Punctuation2
 
0.1%
Close Punctuation2
 
0.1%
Other Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e181
 
10.9%
o155
 
9.3%
i148
 
8.9%
s111
 
6.7%
a111
 
6.7%
d98
 
5.9%
r82
 
4.9%
p80
 
4.8%
n66
 
4.0%
t65
 
3.9%
Other values (49)565
34.0%
Uppercase Letter
ValueCountFrequency (%)
E83
20.8%
H26
 
6.5%
C21
 
5.3%
T20
 
5.0%
A19
 
4.8%
S18
 
4.5%
M16
 
4.0%
R13
 
3.3%
L13
 
3.3%
D13
 
3.3%
Other values (38)157
39.3%
Decimal Number
ValueCountFrequency (%)
130
22.4%
225
18.7%
020
14.9%
313
9.7%
411
 
8.2%
69
 
6.7%
58
 
6.0%
96
 
4.5%
76
 
4.5%
86
 
4.5%
Other Punctuation
ValueCountFrequency (%)
,10
20.8%
:9
18.8%
!6
12.5%
.6
12.5%
?6
12.5%
'5
10.4%
&2
 
4.2%
"2
 
4.2%
/1
 
2.1%
#1
 
2.1%
Space Separator
ValueCountFrequency (%)
319
100.0%
Dash Punctuation
ValueCountFrequency (%)
-4
100.0%
Math Symbol
ValueCountFrequency (%)
|2
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1715
66.7%
Common512
 
19.9%
Cyrillic346
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e181
 
10.6%
o155
 
9.0%
i148
 
8.6%
s111
 
6.5%
a111
 
6.5%
d98
 
5.7%
E83
 
4.8%
r82
 
4.8%
p80
 
4.7%
n66
 
3.8%
Other values (45)600
35.0%
Cyrillic
ValueCountFrequency (%)
а26
 
7.5%
е25
 
7.2%
и23
 
6.6%
о23
 
6.6%
н23
 
6.6%
р17
 
4.9%
к15
 
4.3%
л15
 
4.3%
д12
 
3.5%
с12
 
3.5%
Other values (42)155
44.8%
Common
ValueCountFrequency (%)
319
62.3%
130
 
5.9%
225
 
4.9%
020
 
3.9%
313
 
2.5%
411
 
2.1%
,10
 
2.0%
69
 
1.8%
:9
 
1.8%
58
 
1.6%
Other values (16)58
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2218
86.2%
Cyrillic346
 
13.4%
None8
 
0.3%
Letterlike Symbols1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
319
 
14.4%
e181
 
8.2%
o155
 
7.0%
i148
 
6.7%
s111
 
5.0%
a111
 
5.0%
d98
 
4.4%
E83
 
3.7%
r82
 
3.7%
p80
 
3.6%
Other values (65)850
38.3%
Cyrillic
ValueCountFrequency (%)
а26
 
7.5%
е25
 
7.2%
и23
 
6.6%
о23
 
6.6%
н23
 
6.6%
р17
 
4.9%
к15
 
4.3%
л15
 
4.3%
д12
 
3.5%
с12
 
3.5%
Other values (42)155
44.8%
None
ValueCountFrequency (%)
é4
50.0%
å1
 
12.5%
ó1
 
12.5%
ü1
 
12.5%
ö1
 
12.5%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct17
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.2434211
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:46.028863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation545.734671
Coefficient of variation (CV)3.363678277
Kurtosis8.05081481
Mean162.2434211
Median Absolute Deviation (MAD)0
Skewness3.153254267
Sum24661
Variance297826.3311
MonotonicityNot monotonic
2022-09-05T21:40:46.117970image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
193
61.2%
217
 
11.2%
313
 
8.6%
202012
 
7.9%
44
 
2.6%
92
 
1.3%
181
 
0.7%
151
 
0.7%
511
 
0.7%
71
 
0.7%
Other values (7)7
 
4.6%
ValueCountFrequency (%)
193
61.2%
217
 
11.2%
313
 
8.6%
44
 
2.6%
51
 
0.7%
61
 
0.7%
71
 
0.7%
81
 
0.7%
92
 
1.3%
101
 
0.7%
ValueCountFrequency (%)
202012
7.9%
541
 
0.7%
511
 
0.7%
311
 
0.7%
181
 
0.7%
161
 
0.7%
151
 
0.7%
101
 
0.7%
92
 
1.3%
81
 
0.7%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct47
Distinct (%)31.1%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean23.0397351
Minimum1
Maximum337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:46.219089image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q317.5
95-th percentile91
Maximum337
Range336
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation53.81819776
Coefficient of variation (CV)2.335886135
Kurtosis22.68132282
Mean23.0397351
Median Absolute Deviation (MAD)4
Skewness4.628626064
Sum3479
Variance2896.398411
MonotonicityNot monotonic
2022-09-05T21:40:46.329169image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
115
 
9.9%
613
 
8.6%
413
 
8.6%
312
 
7.9%
711
 
7.2%
210
 
6.6%
59
 
5.9%
87
 
4.6%
97
 
4.6%
104
 
2.6%
Other values (37)50
32.9%
ValueCountFrequency (%)
115
9.9%
210
6.6%
312
7.9%
413
8.6%
59
5.9%
613
8.6%
711
7.2%
87
4.6%
97
4.6%
104
 
2.6%
ValueCountFrequency (%)
3371
0.7%
3361
0.7%
2981
0.7%
2971
0.7%
1491
0.7%
1191
0.7%
1111
0.7%
991
0.7%
831
0.7%
631
0.7%

type
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
regular
151 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.078947368
Min length7

Characters and Unicode

Total characters1076
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st rowregular
2nd rowregular
3rd rowsignificant_special
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular151
99.3%
significant_special1
 
0.7%

Length

2022-09-05T21:40:46.424399image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:46.508697image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
regular151
99.3%
significant_special1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
r302
28.1%
a153
14.2%
e152
14.1%
g152
14.1%
l152
14.1%
u151
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (4)4
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1075
99.9%
Connector Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r302
28.1%
a153
14.2%
e152
14.1%
g152
14.1%
l152
14.1%
u151
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (3)3
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1075
99.9%
Common1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r302
28.1%
a153
14.2%
e152
14.1%
g152
14.1%
l152
14.1%
u151
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (3)3
 
0.3%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r302
28.1%
a153
14.2%
e152
14.1%
g152
14.1%
l152
14.1%
u151
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (4)4
 
0.4%

airdate
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2020-12-10
152 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1520
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-10
2nd row2020-12-10
3rd row2020-12-10
4th row2020-12-10
5th row2020-12-10

Common Values

ValueCountFrequency (%)
2020-12-10152
100.0%

Length

2022-09-05T21:40:46.581100image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:46.659787image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-10152
100.0%

Most occurring characters

ValueCountFrequency (%)
2456
30.0%
0456
30.0%
-304
20.0%
1304
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1216
80.0%
Dash Punctuation304
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2456
37.5%
0456
37.5%
1304
25.0%
Dash Punctuation
ValueCountFrequency (%)
-304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2456
30.0%
0456
30.0%
-304
20.0%
1304
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2456
30.0%
0456
30.0%
-304
20.0%
1304
20.0%

airtime
Categorical

HIGH CORRELATION

Distinct17
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
109 
20:00
13 
21:00
 
10
12:00
 
5
11:00
 
2
Other values (12)
13 

Length

Max length5
Median length0
Mean length1.414473684
Min length0

Characters and Unicode

Total characters215
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)7.2%

Sample

1st row08:10
2nd row06:00
3rd row
4th row
5th row12:00

Common Values

ValueCountFrequency (%)
109
71.7%
20:0013
 
8.6%
21:0010
 
6.6%
12:005
 
3.3%
11:002
 
1.3%
06:002
 
1.3%
08:101
 
0.7%
20:551
 
0.7%
19:251
 
0.7%
10:001
 
0.7%
Other values (7)7
 
4.6%

Length

2022-09-05T21:40:46.738867image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:0013
30.2%
21:0010
23.3%
12:005
 
11.6%
11:002
 
4.7%
06:002
 
4.7%
08:101
 
2.3%
20:551
 
2.3%
19:251
 
2.3%
10:001
 
2.3%
09:001
 
2.3%
Other values (6)6
14.0%

Most occurring characters

ValueCountFrequency (%)
098
45.6%
:43
20.0%
232
 
14.9%
127
 
12.6%
55
 
2.3%
93
 
1.4%
62
 
0.9%
82
 
0.9%
72
 
0.9%
31
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number172
80.0%
Other Punctuation43
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
098
57.0%
232
 
18.6%
127
 
15.7%
55
 
2.9%
93
 
1.7%
62
 
1.2%
82
 
1.2%
72
 
1.2%
31
 
0.6%
Other Punctuation
ValueCountFrequency (%)
:43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
098
45.6%
:43
20.0%
232
 
14.9%
127
 
12.6%
55
 
2.3%
93
 
1.4%
62
 
0.9%
82
 
0.9%
72
 
0.9%
31
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
098
45.6%
:43
20.0%
232
 
14.9%
127
 
12.6%
55
 
2.3%
93
 
1.4%
62
 
0.9%
82
 
0.9%
72
 
0.9%
31
 
0.5%

airstamp
Categorical

HIGH CORRELATION

Distinct26
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2020-12-10T12:00:00+00:00
58 
2020-12-10T17:00:00+00:00
22 
2020-12-10T04:00:00+00:00
14 
2020-12-10T00:00:00+00:00
2020-12-10T06:00:00+00:00
Other values (21)
43 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3800
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)7.9%

Sample

1st row2020-12-09T20:10:00+00:00
2nd row2020-12-09T21:00:00+00:00
3rd row2020-12-10T00:00:00+00:00
4th row2020-12-10T00:00:00+00:00
5th row2020-12-10T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-10T12:00:00+00:0058
38.2%
2020-12-10T17:00:00+00:0022
 
14.5%
2020-12-10T04:00:00+00:0014
 
9.2%
2020-12-10T00:00:00+00:008
 
5.3%
2020-12-10T06:00:00+00:007
 
4.6%
2020-12-10T11:00:00+00:007
 
4.6%
2020-12-10T21:00:00+00:006
 
3.9%
2020-12-10T20:00:00+00:004
 
2.6%
2020-12-10T14:00:00+00:003
 
2.0%
2020-12-10T13:00:00+00:003
 
2.0%
Other values (16)20
 
13.2%

Length

2022-09-05T21:40:46.830976image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-10t12:00:00+00:0058
38.2%
2020-12-10t17:00:00+00:0022
 
14.5%
2020-12-10t04:00:00+00:0014
 
9.2%
2020-12-10t00:00:00+00:008
 
5.3%
2020-12-10t06:00:00+00:007
 
4.6%
2020-12-10t11:00:00+00:007
 
4.6%
2020-12-10t21:00:00+00:006
 
3.9%
2020-12-10t20:00:00+00:004
 
2.6%
2020-12-10t14:00:00+00:003
 
2.0%
2020-12-10t13:00:00+00:003
 
2.0%
Other values (16)20
 
13.2%

Most occurring characters

ValueCountFrequency (%)
01719
45.2%
2530
 
13.9%
:456
 
12.0%
1417
 
11.0%
-304
 
8.0%
T152
 
4.0%
+152
 
4.0%
723
 
0.6%
417
 
0.4%
58
 
0.2%
Other values (4)22
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2736
72.0%
Other Punctuation456
 
12.0%
Dash Punctuation304
 
8.0%
Uppercase Letter152
 
4.0%
Math Symbol152
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01719
62.8%
2530
 
19.4%
1417
 
15.2%
723
 
0.8%
417
 
0.6%
58
 
0.3%
67
 
0.3%
96
 
0.2%
35
 
0.2%
84
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:456
100.0%
Dash Punctuation
ValueCountFrequency (%)
-304
100.0%
Uppercase Letter
ValueCountFrequency (%)
T152
100.0%
Math Symbol
ValueCountFrequency (%)
+152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3648
96.0%
Latin152
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01719
47.1%
2530
 
14.5%
:456
 
12.5%
1417
 
11.4%
-304
 
8.3%
+152
 
4.2%
723
 
0.6%
417
 
0.5%
58
 
0.2%
67
 
0.2%
Other values (3)15
 
0.4%
Latin
ValueCountFrequency (%)
T152
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01719
45.2%
2530
 
13.9%
:456
 
12.0%
1417
 
11.0%
-304
 
8.0%
T152
 
4.0%
+152
 
4.0%
723
 
0.6%
417
 
0.4%
58
 
0.2%
Other values (4)22
 
0.6%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct48
Distinct (%)35.8%
Missing18
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean40.00746269
Minimum3
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:46.925639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11.3
Q123
median44.5
Q347.75
95-th percentile61.75
Maximum240
Range237
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation27.01698053
Coefficient of variation (CV)0.6752985248
Kurtosis22.87240902
Mean40.00746269
Median Absolute Deviation (MAD)12.5
Skewness3.590036769
Sum5361
Variance729.9172371
MonotonicityNot monotonic
2022-09-05T21:40:47.041162image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4531
20.4%
608
 
5.3%
308
 
5.3%
127
 
4.6%
206
 
3.9%
485
 
3.3%
495
 
3.3%
254
 
2.6%
1203
 
2.0%
103
 
2.0%
Other values (38)54
35.5%
(Missing)18
 
11.8%
ValueCountFrequency (%)
31
 
0.7%
61
 
0.7%
71
 
0.7%
81
 
0.7%
103
2.0%
127
4.6%
132
 
1.3%
141
 
0.7%
153
2.0%
161
 
0.7%
ValueCountFrequency (%)
2401
 
0.7%
1203
 
2.0%
922
 
1.3%
651
 
0.7%
608
5.3%
591
 
0.7%
551
 
0.7%
532
 
1.3%
522
 
1.3%
512
 
1.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct50
Distinct (%)100.0%
Missing102
Missing (%)67.1%
Memory size1.3 KiB
<p>It's a Winter Wonderland – but the competition isn't heating up, it's cooling down! Join our groomers as they get in the howl-iday spirit, unleashing festive creations on their furry friends for a shot at a holly jolly gift of $10,000.</p>
 
1
<p>A private plane and some serious retail therapy prove no match for Judy's mounting frustrations with the strict gender roles prescribed to her and Washington. Later, as Judy challenges her younger brother to a tennis match, she also challenges the deep-rooted cultural norms that favor him. Meanwhile, Wash tells Cousin Sammy the secret motivation behind his marriage to Lesley, who's struggling to find her place in the Ho family.</p>
 
1
<p>As Judy reluctantly accepts the keys to the house her father built for her, she feels the weight of her mother's judgments about her divorce and, later, confesses a secret that stuns her parents. Faced with an ever-unreliable husband, Lesley takes the party-planning reigns for Binh's retirement celebration, but her father-in-law soon reveals that the festivities may be preemptive.</p>
 
1
<p>Judy challenges her father to see her as an adult and accept her relationship with Dr. Nate. Washington turns to his mother for help when his attempt to win Lesley over with lavish gifts backfires.</p>
 
1
<p>A boys-only hunting trip offers a rare appearance by Binh's youngest child Reagan, who isn't afraid to speak his mind. Meanwhile, Lesley begs the Ho women for help in corralling her out-of-control husband, revealing a shameful and shocking family secret in the process.</p>
 
1
Other values (45)
45 

Length

Max length652
Median length168.5
Mean length213.26
Min length78

Characters and Unicode

Total characters10663
Distinct characters73
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row<p><b>#Seriously mouth watering #Camping Mates formed(?) #NPC On the Block</b></p>
2nd row<p>After Zol deletes the remaining copy of her fiction involving Zon and Saifah, it seems that Saifah suddenly cannot remember Zon.  </p>
3rd row<p>The U.S.S. Discovery crew journey to a mysterious planet in hopes of finding a cure for Georgiou's deteriorating condition. Stamets and Adira make a stunning breakthrough with the newly acquired Burn data.</p>
4th row<p>Deep within the mysterious Aeorian ruin, the Mighty Nein must first face a terrifying abomination before they can venture further into the strange and unknown...</p>
5th row<p>Reeling from a major fallout with Annie, Cassie spirals into an alcohol-fueled escapade that ends in a meltdown.</p>

Common Values

ValueCountFrequency (%)
<p>It's a Winter Wonderland – but the competition isn't heating up, it's cooling down! Join our groomers as they get in the howl-iday spirit, unleashing festive creations on their furry friends for a shot at a holly jolly gift of $10,000.</p>1
 
0.7%
<p>A private plane and some serious retail therapy prove no match for Judy's mounting frustrations with the strict gender roles prescribed to her and Washington. Later, as Judy challenges her younger brother to a tennis match, she also challenges the deep-rooted cultural norms that favor him. Meanwhile, Wash tells Cousin Sammy the secret motivation behind his marriage to Lesley, who's struggling to find her place in the Ho family.</p>1
 
0.7%
<p>As Judy reluctantly accepts the keys to the house her father built for her, she feels the weight of her mother's judgments about her divorce and, later, confesses a secret that stuns her parents. Faced with an ever-unreliable husband, Lesley takes the party-planning reigns for Binh's retirement celebration, but her father-in-law soon reveals that the festivities may be preemptive.</p>1
 
0.7%
<p>Judy challenges her father to see her as an adult and accept her relationship with Dr. Nate. Washington turns to his mother for help when his attempt to win Lesley over with lavish gifts backfires.</p>1
 
0.7%
<p>A boys-only hunting trip offers a rare appearance by Binh's youngest child Reagan, who isn't afraid to speak his mind. Meanwhile, Lesley begs the Ho women for help in corralling her out-of-control husband, revealing a shameful and shocking family secret in the process.</p>1
 
0.7%
<p>Judy hosts a lively party at her house to celebrate Lunar New Year, but thanks to her parents, her boyfriend is nowhere to be found. Meanwhile, Washington's drinking becomes a family matter when he seeks his father's advice, forcing Wash to contemplate whether his loyalty falls with his family's expectations, or with the needs of his wife.</p>1
 
0.7%
<p>As Judy's 40th birthday approaches, she invites her parents to meet her boyfriend on her terms. Meanwhile, Washington is rocked by shocking news from his father, and Dr. Nate drops a bomb that will change the Ho family forever.</p>1
 
0.7%
<p>It's out of the castle and into the real world for the 11th date of Christmas! While Chad and Faith surprise their families with special newcomers, Garrett makes a decision that shocks everyone.</p>1
 
0.7%
<p>Chad, Faith, and Garrett leave their families behind and head to the ultimate romantic destination. As their fairytale journeys come to an end, they lay it all on the line for the 12th and final New Year's Eve date to determine the future of their relationships.</p>1
 
0.7%
<p>Virtue Signal breaks down Trump's rejected Supreme Court case and the rise of Newsmax with New York Times media columnist Ben Smith. Plus, Kylie Weaver shares her best journalism from the year and her thoughts on Giuliani's recovery. </p>1
 
0.7%
Other values (40)40
 
26.3%
(Missing)102
67.1%

Length

2022-09-05T21:40:47.163780image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the96
 
5.5%
to68
 
3.9%
and57
 
3.3%
a50
 
2.9%
of36
 
2.1%
her29
 
1.7%
with24
 
1.4%
in21
 
1.2%
for19
 
1.1%
their16
 
0.9%
Other values (893)1330
76.2%

Most occurring characters

ValueCountFrequency (%)
1688
15.8%
e1016
 
9.5%
t694
 
6.5%
a659
 
6.2%
i584
 
5.5%
n553
 
5.2%
o541
 
5.1%
s535
 
5.0%
r534
 
5.0%
h469
 
4.4%
Other values (63)3390
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8011
75.1%
Space Separator1698
 
15.9%
Uppercase Letter340
 
3.2%
Other Punctuation317
 
3.0%
Math Symbol246
 
2.3%
Dash Punctuation27
 
0.3%
Decimal Number11
 
0.1%
Close Punctuation6
 
0.1%
Open Punctuation6
 
0.1%
Currency Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1016
12.7%
t694
 
8.7%
a659
 
8.2%
i584
 
7.3%
n553
 
6.9%
o541
 
6.8%
s535
 
6.7%
r534
 
6.7%
h469
 
5.9%
l318
 
4.0%
Other values (18)2108
26.3%
Uppercase Letter
ValueCountFrequency (%)
A37
 
10.9%
S35
 
10.3%
J25
 
7.4%
W25
 
7.4%
L23
 
6.8%
B20
 
5.9%
C20
 
5.9%
M19
 
5.6%
T16
 
4.7%
N16
 
4.7%
Other values (15)104
30.6%
Other Punctuation
ValueCountFrequency (%)
.108
34.1%
,89
28.1%
/65
20.5%
'45
14.2%
?4
 
1.3%
#3
 
0.9%
!3
 
0.9%
Decimal Number
ValueCountFrequency (%)
05
45.5%
14
36.4%
21
 
9.1%
41
 
9.1%
Space Separator
ValueCountFrequency (%)
1688
99.4%
 10
 
0.6%
Math Symbol
ValueCountFrequency (%)
>123
50.0%
<123
50.0%
Dash Punctuation
ValueCountFrequency (%)
-26
96.3%
1
 
3.7%
Close Punctuation
ValueCountFrequency (%)
)6
100.0%
Open Punctuation
ValueCountFrequency (%)
(6
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8351
78.3%
Common2312
 
21.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1016
12.2%
t694
 
8.3%
a659
 
7.9%
i584
 
7.0%
n553
 
6.6%
o541
 
6.5%
s535
 
6.4%
r534
 
6.4%
h469
 
5.6%
l318
 
3.8%
Other values (43)2448
29.3%
Common
ValueCountFrequency (%)
1688
73.0%
>123
 
5.3%
<123
 
5.3%
.108
 
4.7%
,89
 
3.8%
/65
 
2.8%
'45
 
1.9%
-26
 
1.1%
 10
 
0.4%
)6
 
0.3%
Other values (10)29
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII10650
99.9%
None12
 
0.1%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1688
15.8%
e1016
 
9.5%
t694
 
6.5%
a659
 
6.2%
i584
 
5.5%
n553
 
5.2%
o541
 
5.1%
s535
 
5.0%
r534
 
5.0%
h469
 
4.4%
Other values (59)3377
31.7%
None
ValueCountFrequency (%)
 10
83.3%
ø1
 
8.3%
ê1
 
8.3%
Punctuation
ValueCountFrequency (%)
1
100.0%

rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct14
Distinct (%)70.0%
Missing132
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean8.125
Minimum7
Maximum9.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:47.263558image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.285
Q17.725
median8.05
Q38.525
95-th percentile8.93
Maximum9.5
Range2.5
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.6495950155
Coefficient of variation (CV)0.07995015576
Kurtosis-0.4063748301
Mean8.125
Median Absolute Deviation (MAD)0.5
Skewness0.2093682526
Sum162.5
Variance0.4219736842
MonotonicityNot monotonic
2022-09-05T21:40:47.362036image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
8.93
 
2.0%
7.92
 
1.3%
82
 
1.3%
7.32
 
1.3%
8.52
 
1.3%
71
 
0.7%
9.51
 
0.7%
8.31
 
0.7%
8.11
 
0.7%
8.21
 
0.7%
Other values (4)4
 
2.6%
(Missing)132
86.8%
ValueCountFrequency (%)
71
0.7%
7.32
1.3%
7.41
0.7%
7.51
0.7%
7.81
0.7%
7.92
1.3%
82
1.3%
8.11
0.7%
8.21
0.7%
8.31
0.7%
ValueCountFrequency (%)
9.51
 
0.7%
8.93
2.0%
8.61
 
0.7%
8.52
1.3%
8.31
 
0.7%
8.21
 
0.7%
8.11
 
0.7%
82
1.3%
7.92
1.3%
7.81
 
0.7%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
https://api.tvmaze.com/episodes/1993635
 
1
https://api.tvmaze.com/episodes/2228708
 
1
https://api.tvmaze.com/episodes/2000055
 
1
https://api.tvmaze.com/episodes/2011353
 
1
https://api.tvmaze.com/episodes/2015225
 
1
Other values (147)
147 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5928
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1993635
2nd rowhttps://api.tvmaze.com/episodes/1988858
3rd rowhttps://api.tvmaze.com/episodes/1983840
4th rowhttps://api.tvmaze.com/episodes/1963997
5th rowhttps://api.tvmaze.com/episodes/2053349

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19936351
 
0.7%
https://api.tvmaze.com/episodes/22287081
 
0.7%
https://api.tvmaze.com/episodes/20000551
 
0.7%
https://api.tvmaze.com/episodes/20113531
 
0.7%
https://api.tvmaze.com/episodes/20152251
 
0.7%
https://api.tvmaze.com/episodes/20249131
 
0.7%
https://api.tvmaze.com/episodes/20358731
 
0.7%
https://api.tvmaze.com/episodes/21253451
 
0.7%
https://api.tvmaze.com/episodes/21972801
 
0.7%
https://api.tvmaze.com/episodes/22893221
 
0.7%
Other values (142)142
93.4%

Length

2022-09-05T21:40:47.456723image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19936351
 
0.7%
https://api.tvmaze.com/episodes/19815621
 
0.7%
https://api.tvmaze.com/episodes/19985741
 
0.7%
https://api.tvmaze.com/episodes/19838401
 
0.7%
https://api.tvmaze.com/episodes/19639971
 
0.7%
https://api.tvmaze.com/episodes/20533491
 
0.7%
https://api.tvmaze.com/episodes/19607271
 
0.7%
https://api.tvmaze.com/episodes/19544541
 
0.7%
https://api.tvmaze.com/episodes/19815611
 
0.7%
https://api.tvmaze.com/episodes/19868721
 
0.7%
Other values (142)142
93.4%

Most occurring characters

ValueCountFrequency (%)
/608
 
10.3%
p456
 
7.7%
s456
 
7.7%
e456
 
7.7%
t456
 
7.7%
o304
 
5.1%
a304
 
5.1%
i304
 
5.1%
.304
 
5.1%
m304
 
5.1%
Other values (16)1976
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3800
64.1%
Other Punctuation1064
 
17.9%
Decimal Number1064
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p456
12.0%
s456
12.0%
e456
12.0%
t456
12.0%
o304
8.0%
a304
8.0%
i304
8.0%
m304
8.0%
h152
 
4.0%
d152
 
4.0%
Other values (3)456
12.0%
Decimal Number
ValueCountFrequency (%)
9179
16.8%
1162
15.2%
2130
12.2%
7103
9.7%
898
9.2%
097
9.1%
587
8.2%
383
7.8%
463
 
5.9%
662
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/608
57.1%
.304
28.6%
:152
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3800
64.1%
Common2128
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/608
28.6%
.304
14.3%
9179
 
8.4%
1162
 
7.6%
:152
 
7.1%
2130
 
6.1%
7103
 
4.8%
898
 
4.6%
097
 
4.6%
587
 
4.1%
Other values (3)208
 
9.8%
Latin
ValueCountFrequency (%)
p456
12.0%
s456
12.0%
e456
12.0%
t456
12.0%
o304
8.0%
a304
8.0%
i304
8.0%
m304
8.0%
h152
 
4.0%
d152
 
4.0%
Other values (3)456
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/608
 
10.3%
p456
 
7.7%
s456
 
7.7%
e456
 
7.7%
t456
 
7.7%
o304
 
5.1%
a304
 
5.1%
i304
 
5.1%
.304
 
5.1%
m304
 
5.1%
Other values (16)1976
33.3%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct97
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44782.21053
Minimum2504
Maximum63719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:47.564228image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile16078
Q142843
median50036
Q352782
95-th percentile57920.95
Maximum63719
Range61215
Interquartile range (IQR)9939

Descriptive statistics

Standard deviation12999.83957
Coefficient of variation (CV)0.2902902606
Kurtosis1.38662413
Mean44782.21053
Median Absolute Deviation (MAD)3573
Skewness-1.486474083
Sum6806896
Variance168995828.7
MonotonicityNot monotonic
2022-09-05T21:40:47.688888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
528068
 
5.3%
500368
 
5.3%
536097
 
4.6%
446547
 
4.6%
160786
 
3.9%
266434
 
2.6%
527824
 
2.6%
441353
 
2.0%
480412
 
1.3%
527582
 
1.3%
Other values (87)101
66.4%
ValueCountFrequency (%)
25041
 
0.7%
65441
 
0.7%
74801
 
0.7%
108921
 
0.7%
132151
 
0.7%
152502
 
1.3%
160786
3.9%
167531
 
0.7%
170461
 
0.7%
214911
 
0.7%
ValueCountFrequency (%)
637191
0.7%
629011
0.7%
608482
1.3%
592611
0.7%
586892
1.3%
583671
0.7%
575561
0.7%
572571
0.7%
566051
0.7%
562531
0.7%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct97
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
https://www.tvmaze.com/shows/52806/ultimate-note
 
8
https://www.tvmaze.com/shows/50036/alice-in-borderland
 
8
https://www.tvmaze.com/shows/53609/shikol
 
7
https://www.tvmaze.com/shows/44654/house-of-ho
 
7
https://www.tvmaze.com/shows/16078/tin-star
 
6
Other values (92)
116 

Length

Max length83
Median length59
Mean length48.71710526
Min length39

Characters and Unicode

Total characters7405
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)48.0%

Sample

1st rowhttps://www.tvmaze.com/shows/34010/azbuki-smesarikov
2nd rowhttps://www.tvmaze.com/shows/41648/sim-for-you
3rd rowhttps://www.tvmaze.com/shows/10892/troe-iz-prostokvasino
4th rowhttps://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
5th rowhttps://www.tvmaze.com/shows/48683/ispoved

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/52806/ultimate-note8
 
5.3%
https://www.tvmaze.com/shows/50036/alice-in-borderland8
 
5.3%
https://www.tvmaze.com/shows/53609/shikol7
 
4.6%
https://www.tvmaze.com/shows/44654/house-of-ho7
 
4.6%
https://www.tvmaze.com/shows/16078/tin-star6
 
3.9%
https://www.tvmaze.com/shows/26643/summer-camp-island4
 
2.6%
https://www.tvmaze.com/shows/52782/mr-right-is-here4
 
2.6%
https://www.tvmaze.com/shows/44135/snackmasters3
 
2.0%
https://www.tvmaze.com/shows/48041/esme-roy2
 
1.3%
https://www.tvmaze.com/shows/52758/stichtag2
 
1.3%
Other values (87)101
66.4%

Length

2022-09-05T21:40:47.794681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/52806/ultimate-note8
 
5.3%
https://www.tvmaze.com/shows/50036/alice-in-borderland8
 
5.3%
https://www.tvmaze.com/shows/53609/shikol7
 
4.6%
https://www.tvmaze.com/shows/44654/house-of-ho7
 
4.6%
https://www.tvmaze.com/shows/16078/tin-star6
 
3.9%
https://www.tvmaze.com/shows/26643/summer-camp-island4
 
2.6%
https://www.tvmaze.com/shows/52782/mr-right-is-here4
 
2.6%
https://www.tvmaze.com/shows/44135/snackmasters3
 
2.0%
https://www.tvmaze.com/shows/52799/futmallscom2
 
1.3%
https://www.tvmaze.com/shows/52181/volk2
 
1.3%
Other values (87)101
66.4%

Most occurring characters

ValueCountFrequency (%)
/760
 
10.3%
w630
 
8.5%
t605
 
8.2%
s597
 
8.1%
o457
 
6.2%
h386
 
5.2%
m379
 
5.1%
e350
 
4.7%
a305
 
4.1%
.304
 
4.1%
Other values (30)2632
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5191
70.1%
Other Punctuation1216
 
16.4%
Decimal Number770
 
10.4%
Dash Punctuation228
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w630
12.1%
t605
11.7%
s597
11.5%
o457
8.8%
h386
 
7.4%
m379
 
7.3%
e350
 
6.7%
a305
 
5.9%
c205
 
3.9%
p187
 
3.6%
Other values (16)1090
21.0%
Decimal Number
ValueCountFrequency (%)
5117
15.2%
095
12.3%
693
12.1%
492
11.9%
281
10.5%
871
9.2%
169
9.0%
362
8.1%
945
 
5.8%
745
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/760
62.5%
.304
 
25.0%
:152
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5191
70.1%
Common2214
29.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w630
12.1%
t605
11.7%
s597
11.5%
o457
8.8%
h386
 
7.4%
m379
 
7.3%
e350
 
6.7%
a305
 
5.9%
c205
 
3.9%
p187
 
3.6%
Other values (16)1090
21.0%
Common
ValueCountFrequency (%)
/760
34.3%
.304
 
13.7%
-228
 
10.3%
:152
 
6.9%
5117
 
5.3%
095
 
4.3%
693
 
4.2%
492
 
4.2%
281
 
3.7%
871
 
3.2%
Other values (4)221
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/760
 
10.3%
w630
 
8.5%
t605
 
8.2%
s597
 
8.1%
o457
 
6.2%
h386
 
5.2%
m379
 
5.1%
e350
 
4.7%
a305
 
4.1%
.304
 
4.1%
Other values (30)2632
35.5%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct96
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Alice in Borderland
 
8
Ultimate Note
 
8
House of Ho
 
7
Shikol
 
7
Tin Star
 
6
Other values (91)
116 

Length

Max length50
Median length23
Mean length14.01315789
Min length4

Characters and Unicode

Total characters2130
Distinct characters113
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)47.4%

Sample

1st rowАзбуки Смешариков
2nd rowSim for You
3rd rowТрое из Простоквашино
4th row257 причин, чтобы жить
5th rowИсповедь

Common Values

ValueCountFrequency (%)
Alice in Borderland8
 
5.3%
Ultimate Note8
 
5.3%
House of Ho7
 
4.6%
Shikol7
 
4.6%
Tin Star6
 
3.9%
Summer Camp Island4
 
2.6%
Mr. Right is Here!4
 
2.6%
Snackmasters3
 
2.0%
Mermaid Prince3
 
2.0%
Esme & Roy2
 
1.3%
Other values (86)100
65.8%

Length

2022-09-05T21:40:47.891146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the14
 
3.6%
of11
 
2.9%
in10
 
2.6%
alice8
 
2.1%
borderland8
 
2.1%
ultimate8
 
2.1%
note8
 
2.1%
house7
 
1.8%
ho7
 
1.8%
shikol7
 
1.8%
Other values (211)297
77.1%

Most occurring characters

ValueCountFrequency (%)
233
 
10.9%
e179
 
8.4%
o123
 
5.8%
a121
 
5.7%
i110
 
5.2%
r109
 
5.1%
t106
 
5.0%
n91
 
4.3%
s78
 
3.7%
l74
 
3.5%
Other values (103)906
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1508
70.8%
Uppercase Letter342
 
16.1%
Space Separator233
 
10.9%
Other Punctuation33
 
1.5%
Decimal Number13
 
0.6%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e179
 
11.9%
o123
 
8.2%
a121
 
8.0%
i110
 
7.3%
r109
 
7.2%
t106
 
7.0%
n91
 
6.0%
s78
 
5.2%
l74
 
4.9%
h56
 
3.7%
Other values (48)461
30.6%
Uppercase Letter
ValueCountFrequency (%)
S49
14.3%
T36
 
10.5%
M24
 
7.0%
H24
 
7.0%
B23
 
6.7%
A18
 
5.3%
C15
 
4.4%
N13
 
3.8%
R13
 
3.8%
W12
 
3.5%
Other values (29)115
33.6%
Other Punctuation
ValueCountFrequency (%)
!7
21.2%
.7
21.2%
:5
15.2%
'5
15.2%
&4
12.1%
,3
9.1%
#1
 
3.0%
?1
 
3.0%
Decimal Number
ValueCountFrequency (%)
26
46.2%
02
 
15.4%
12
 
15.4%
71
 
7.7%
51
 
7.7%
61
 
7.7%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1689
79.3%
Common280
 
13.1%
Cyrillic161
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e179
 
10.6%
o123
 
7.3%
a121
 
7.2%
i110
 
6.5%
r109
 
6.5%
t106
 
6.3%
n91
 
5.4%
s78
 
4.6%
l74
 
4.4%
h56
 
3.3%
Other values (45)642
38.0%
Cyrillic
ValueCountFrequency (%)
о20
 
12.4%
и13
 
8.1%
е11
 
6.8%
к11
 
6.8%
а10
 
6.2%
р8
 
5.0%
л7
 
4.3%
н7
 
4.3%
т6
 
3.7%
п5
 
3.1%
Other values (32)63
39.1%
Common
ValueCountFrequency (%)
233
83.2%
!7
 
2.5%
.7
 
2.5%
26
 
2.1%
:5
 
1.8%
'5
 
1.8%
&4
 
1.4%
,3
 
1.1%
02
 
0.7%
12
 
0.7%
Other values (6)6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1961
92.1%
Cyrillic161
 
7.6%
None7
 
0.3%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
 
11.9%
e179
 
9.1%
o123
 
6.3%
a121
 
6.2%
i110
 
5.6%
r109
 
5.6%
t106
 
5.4%
n91
 
4.6%
s78
 
4.0%
l74
 
3.8%
Other values (56)737
37.6%
Cyrillic
ValueCountFrequency (%)
о20
 
12.4%
и13
 
8.1%
е11
 
6.8%
к11
 
6.8%
а10
 
6.2%
р8
 
5.0%
л7
 
4.3%
н7
 
4.3%
т6
 
3.7%
п5
 
3.1%
Other values (32)63
39.1%
None
ValueCountFrequency (%)
ø3
42.9%
ı2
28.6%
Ç1
 
14.3%
ğ1
 
14.3%
Punctuation
ValueCountFrequency (%)
1
100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct10
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Scripted
90 
Reality
19 
Animation
16 
Talk Show
11 
Documentary
 
9
Other values (5)
 
7

Length

Max length11
Median length8
Mean length8.164473684
Min length4

Characters and Unicode

Total characters1241
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.0%

Sample

1st rowAnimation
2nd rowReality
3rd rowAnimation
4th rowScripted
5th rowDocumentary

Common Values

ValueCountFrequency (%)
Scripted90
59.2%
Reality19
 
12.5%
Animation16
 
10.5%
Talk Show11
 
7.2%
Documentary9
 
5.9%
News2
 
1.3%
Sports2
 
1.3%
Game Show1
 
0.7%
Award Show1
 
0.7%
Variety1
 
0.7%

Length

2022-09-05T21:40:47.982409image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:48.091322image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
scripted90
54.5%
reality19
 
11.5%
animation16
 
9.7%
show13
 
7.9%
talk11
 
6.7%
documentary9
 
5.5%
news2
 
1.2%
sports2
 
1.2%
game1
 
0.6%
award1
 
0.6%

Most occurring characters

ValueCountFrequency (%)
i142
11.4%
t137
11.0%
e122
9.8%
S105
8.5%
r103
8.3%
c99
 
8.0%
p92
 
7.4%
d91
 
7.3%
a58
 
4.7%
n41
 
3.3%
Other values (17)251
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1063
85.7%
Uppercase Letter165
 
13.3%
Space Separator13
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i142
13.4%
t137
12.9%
e122
11.5%
r103
9.7%
c99
9.3%
p92
8.7%
d91
8.6%
a58
5.5%
n41
 
3.9%
o40
 
3.8%
Other values (8)138
13.0%
Uppercase Letter
ValueCountFrequency (%)
S105
63.6%
R19
 
11.5%
A17
 
10.3%
T11
 
6.7%
D9
 
5.5%
N2
 
1.2%
G1
 
0.6%
V1
 
0.6%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1228
99.0%
Common13
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i142
11.6%
t137
11.2%
e122
9.9%
S105
8.6%
r103
8.4%
c99
8.1%
p92
 
7.5%
d91
 
7.4%
a58
 
4.7%
n41
 
3.3%
Other values (16)238
19.4%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i142
11.4%
t137
11.0%
e122
9.8%
S105
8.5%
r103
8.3%
c99
 
8.0%
p92
 
7.4%
d91
 
7.3%
a58
 
4.7%
n41
 
3.3%
Other values (17)251
20.2%

_embedded.show.language
Categorical

HIGH CORRELATION

Distinct18
Distinct (%)11.9%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
English
51 
Chinese
33 
Russian
16 
Korean
Japanese
Other values (13)
35 

Length

Max length10
Median length7
Mean length6.960264901
Min length4

Characters and Unicode

Total characters1051
Distinct characters35
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.6%

Sample

1st rowRussian
2nd rowKorean
3rd rowRussian
4th rowRussian
5th rowRussian

Common Values

ValueCountFrequency (%)
English51
33.6%
Chinese33
21.7%
Russian16
 
10.5%
Korean8
 
5.3%
Japanese8
 
5.3%
Bengali7
 
4.6%
Norwegian5
 
3.3%
Dutch4
 
2.6%
Arabic3
 
2.0%
German3
 
2.0%
Other values (8)13
 
8.6%

Length

2022-09-05T21:40:48.193557image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english51
33.8%
chinese33
21.9%
russian16
 
10.6%
korean8
 
5.3%
japanese8
 
5.3%
bengali7
 
4.6%
norwegian5
 
3.3%
dutch4
 
2.6%
thai3
 
2.0%
german3
 
2.0%
Other values (8)13
 
8.6%

Most occurring characters

ValueCountFrequency (%)
n137
13.0%
s128
12.2%
i124
11.8%
e110
10.5%
h94
8.9%
a72
6.9%
g69
6.6%
l61
 
5.8%
E51
 
4.9%
C33
 
3.1%
Other values (25)172
16.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter900
85.6%
Uppercase Letter151
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n137
15.2%
s128
14.2%
i124
13.8%
e110
12.2%
h94
10.4%
a72
8.0%
g69
7.7%
l61
6.8%
u25
 
2.8%
r25
 
2.8%
Other values (9)55
6.1%
Uppercase Letter
ValueCountFrequency (%)
E51
33.8%
C33
21.9%
R16
 
10.6%
K8
 
5.3%
J8
 
5.3%
B7
 
4.6%
T6
 
4.0%
N5
 
3.3%
D4
 
2.6%
A3
 
2.0%
Other values (6)10
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Latin1051
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n137
13.0%
s128
12.2%
i124
11.8%
e110
10.5%
h94
8.9%
a72
6.9%
g69
6.6%
l61
 
5.8%
E51
 
4.9%
C33
 
3.1%
Other values (25)172
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n137
13.0%
s128
12.2%
i124
11.8%
e110
10.5%
h94
8.9%
a72
6.9%
g69
6.6%
l61
 
5.8%
E51
 
4.9%
C33
 
3.1%
Other values (25)172
16.4%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1.3 KiB

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Ended
70 
Running
62 
To Be Determined
20 

Length

Max length16
Median length7
Mean length7.263157895
Min length5

Characters and Unicode

Total characters1104
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowRunning
3rd rowRunning
4th rowEnded
5th rowEnded

Common Values

ValueCountFrequency (%)
Ended70
46.1%
Running62
40.8%
To Be Determined20
 
13.2%

Length

2022-09-05T21:40:48.286283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:48.380206image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
ended70
36.5%
running62
32.3%
to20
 
10.4%
be20
 
10.4%
determined20
 
10.4%

Most occurring characters

ValueCountFrequency (%)
n276
25.0%
d160
14.5%
e150
13.6%
i82
 
7.4%
E70
 
6.3%
R62
 
5.6%
u62
 
5.6%
g62
 
5.6%
40
 
3.6%
T20
 
1.8%
Other values (6)120
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter872
79.0%
Uppercase Letter192
 
17.4%
Space Separator40
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n276
31.7%
d160
18.3%
e150
17.2%
i82
 
9.4%
u62
 
7.1%
g62
 
7.1%
o20
 
2.3%
t20
 
2.3%
r20
 
2.3%
m20
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
E70
36.5%
R62
32.3%
T20
 
10.4%
B20
 
10.4%
D20
 
10.4%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1064
96.4%
Common40
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n276
25.9%
d160
15.0%
e150
14.1%
i82
 
7.7%
E70
 
6.6%
R62
 
5.8%
u62
 
5.8%
g62
 
5.8%
T20
 
1.9%
o20
 
1.9%
Other values (5)100
 
9.4%
Common
ValueCountFrequency (%)
40
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n276
25.0%
d160
14.5%
e150
13.6%
i82
 
7.4%
E70
 
6.3%
R62
 
5.6%
u62
 
5.6%
g62
 
5.6%
40
 
3.6%
T20
 
1.8%
Other values (6)120
10.9%

_embedded.show.runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct25
Distinct (%)27.5%
Missing61
Missing (%)40.1%
Infinite0
Infinite (%)0.0%
Mean41.81318681
Minimum6
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:48.463825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q120
median45
Q345
95-th percentile61
Maximum240
Range234
Interquartile range (IQR)25

Descriptive statistics

Standard deviation30.11419454
Coefficient of variation (CV)0.7202080693
Kurtosis21.03292613
Mean41.81318681
Median Absolute Deviation (MAD)15
Skewness3.64382785
Sum3805
Variance906.8647131
MonotonicityNot monotonic
2022-09-05T21:40:48.568359image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4534
22.4%
209
 
5.9%
609
 
5.9%
306
 
3.9%
154
 
2.6%
403
 
2.0%
1203
 
2.0%
103
 
2.0%
252
 
1.3%
122
 
1.3%
Other values (15)16
 
10.5%
(Missing)61
40.1%
ValueCountFrequency (%)
61
 
0.7%
71
 
0.7%
81
 
0.7%
103
 
2.0%
122
 
1.3%
131
 
0.7%
154
2.6%
161
 
0.7%
181
 
0.7%
209
5.9%
ValueCountFrequency (%)
2401
 
0.7%
1203
 
2.0%
621
 
0.7%
609
 
5.9%
581
 
0.7%
521
 
0.7%
512
 
1.3%
501
 
0.7%
481
 
0.7%
4534
22.4%

_embedded.show.averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct47
Distinct (%)33.6%
Missing12
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean40.15
Minimum2
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:48.683963image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q121.75
median45
Q348
95-th percentile62.05
Maximum212
Range210
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation26.54355048
Coefficient of variation (CV)0.6611096009
Kurtosis13.62433897
Mean40.15
Median Absolute Deviation (MAD)13
Skewness2.671760799
Sum5621
Variance704.5600719
MonotonicityNot monotonic
2022-09-05T21:40:48.804606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4532
21.1%
488
 
5.3%
337
 
4.6%
607
 
4.6%
206
 
3.9%
586
 
3.9%
115
 
3.3%
504
 
2.6%
104
 
2.6%
403
 
2.0%
Other values (37)58
38.2%
(Missing)12
 
7.9%
ValueCountFrequency (%)
21
 
0.7%
31
 
0.7%
61
 
0.7%
81
 
0.7%
92
 
1.3%
104
2.6%
115
3.3%
123
2.0%
133
2.0%
143
2.0%
ValueCountFrequency (%)
2121
 
0.7%
1351
 
0.7%
1203
2.0%
771
 
0.7%
631
 
0.7%
622
 
1.3%
607
4.6%
586
3.9%
571
 
0.7%
562
 
1.3%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct73
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2020-12-10
37 
2017-09-07
 
6
2020-11-12
 
6
2020-11-26
 
5
2020-11-19
 
5
Other values (68)
93 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1520
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)34.9%

Sample

1st row2006-10-11
2nd row2019-03-25
3rd row1978-06-10
4th row2020-03-26
5th row2020-05-11

Common Values

ValueCountFrequency (%)
2020-12-1037
24.3%
2017-09-076
 
3.9%
2020-11-126
 
3.9%
2020-11-265
 
3.3%
2020-11-195
 
3.3%
2018-07-074
 
2.6%
2020-11-184
 
2.6%
2019-10-013
 
2.0%
2020-11-053
 
2.0%
2020-12-073
 
2.0%
Other values (63)76
50.0%

Length

2022-09-05T21:40:48.903174image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1037
24.3%
2020-11-126
 
3.9%
2017-09-076
 
3.9%
2020-11-265
 
3.3%
2020-11-195
 
3.3%
2018-07-074
 
2.6%
2020-11-184
 
2.6%
2019-10-013
 
2.0%
2020-11-053
 
2.0%
2020-12-073
 
2.0%
Other values (63)76
50.0%

Most occurring characters

ValueCountFrequency (%)
0409
26.9%
2352
23.2%
-304
20.0%
1266
17.5%
939
 
2.6%
735
 
2.3%
829
 
1.9%
325
 
1.6%
424
 
1.6%
621
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1216
80.0%
Dash Punctuation304
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0409
33.6%
2352
28.9%
1266
21.9%
939
 
3.2%
735
 
2.9%
829
 
2.4%
325
 
2.1%
424
 
2.0%
621
 
1.7%
516
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
-304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0409
26.9%
2352
23.2%
-304
20.0%
1266
17.5%
939
 
2.6%
735
 
2.3%
829
 
1.9%
325
 
1.6%
424
 
1.6%
621
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0409
26.9%
2352
23.2%
-304
20.0%
1266
17.5%
939
 
2.6%
735
 
2.3%
829
 
1.9%
325
 
1.6%
424
 
1.6%
621
 
1.4%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct25
Distinct (%)35.7%
Missing82
Missing (%)53.9%
Memory size1.3 KiB
2020-12-10
20 
2021-01-02
2020-12-24
2020-12-17
2020-12-18
Other values (20)
29 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters700
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)20.0%

Sample

1st row2021-01-21
2nd row2022-08-30
3rd row2020-12-24
4th row2020-12-28
5th row2020-12-28

Common Values

ValueCountFrequency (%)
2020-12-1020
 
13.2%
2021-01-028
 
5.3%
2020-12-245
 
3.3%
2020-12-174
 
2.6%
2020-12-184
 
2.6%
2020-12-164
 
2.6%
2020-12-113
 
2.0%
2021-01-042
 
1.3%
2020-12-302
 
1.3%
2020-12-282
 
1.3%
Other values (15)16
 
10.5%
(Missing)82
53.9%

Length

2022-09-05T21:40:48.990420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1020
28.6%
2021-01-028
 
11.4%
2020-12-245
 
7.1%
2020-12-174
 
5.7%
2020-12-184
 
5.7%
2020-12-164
 
5.7%
2020-12-113
 
4.3%
2020-12-282
 
2.9%
2021-01-142
 
2.9%
2020-12-302
 
2.9%
Other values (15)16
22.9%

Most occurring characters

ValueCountFrequency (%)
2212
30.3%
0173
24.7%
-140
20.0%
1133
19.0%
411
 
1.6%
810
 
1.4%
69
 
1.3%
76
 
0.9%
33
 
0.4%
52
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number560
80.0%
Dash Punctuation140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2212
37.9%
0173
30.9%
1133
23.8%
411
 
2.0%
810
 
1.8%
69
 
1.6%
76
 
1.1%
33
 
0.5%
52
 
0.4%
91
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
-140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2212
30.3%
0173
24.7%
-140
20.0%
1133
19.0%
411
 
1.6%
810
 
1.4%
69
 
1.3%
76
 
0.9%
33
 
0.4%
52
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2212
30.3%
0173
24.7%
-140
20.0%
1133
19.0%
411
 
1.6%
810
 
1.4%
69
 
1.3%
76
 
0.9%
33
 
0.4%
52
 
0.3%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct85
Distinct (%)67.5%
Missing26
Missing (%)17.1%
Memory size1.3 KiB
https://www.netflix.com/title/80200575
 
8
https://www.iqiyi.com/a_nvzsmw0tgx.html
 
8
https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj
 
7
https://www.sky.com/watch/channel/sky-atlantic/tin-star
 
6
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO
 
4
Other values (80)
93 

Length

Max length250
Median length72
Mean length52.35714286
Min length15

Characters and Unicode

Total characters6597
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)54.0%

Sample

1st rowhttp://www.smeshariki.ru
2nd rowhttps://www.vlive.tv/video/121637
3rd rowhttps://okko.tv/serial/prostokvashino
4th rowhttps://start.ru/watch/257-prichin-chtoby-zhit
5th rowhttps://premier.one/collections/134

Common Values

ValueCountFrequency (%)
https://www.netflix.com/title/802005758
 
5.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html8
 
5.3%
https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj7
 
4.6%
https://www.sky.com/watch/channel/sky-atlantic/tin-star6
 
3.9%
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO4
 
2.6%
https://www.channel4.com/programmes/snackmasters3
 
2.0%
https://play.hbomax.com/page/urn:hbo:page:GX5MHsQzwwIuLwgEAAACp:type:series2
 
1.3%
https://so.youku.com/search_video/q_%E9%A2%84%E6%94%AF%E6%9C%AA%E6%9D%A5?spm=a2hbt.13141534.left-title-content-wrap.5~A2
 
1.3%
https://www.joyn.de/serien/stichtag2
 
1.3%
https://www.tytnetwork.com2
 
1.3%
Other values (75)82
53.9%
(Missing)26
 
17.1%

Length

2022-09-05T21:40:49.095597image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.netflix.com/title/802005758
 
6.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html8
 
6.3%
https://play.hbomax.com/series/urn:hbo:series:gxvttlqwjdcldgqeaaamj7
 
5.6%
https://www.sky.com/watch/channel/sky-atlantic/tin-star6
 
4.8%
https://play.hbomax.com/series/urn:hbo:series:gxkydlageby7czgeaacho4
 
3.2%
https://www.channel4.com/programmes/snackmasters3
 
2.4%
https://play.hbomax.com/page/urn:hbo:page:gxsgljqs-cisfsaeaaabi:type:series2
 
1.6%
https://v.qq.com/detail/m/mzc00200gbahyn5.html2
 
1.6%
https://www.iqiyi.com/a_19rrhskr95.html2
 
1.6%
https://www.iqiyi.com/lib/m_213579814.html2
 
1.6%
Other values (75)82
65.1%

Most occurring characters

ValueCountFrequency (%)
/518
 
7.9%
t495
 
7.5%
s376
 
5.7%
e309
 
4.7%
o267
 
4.0%
h265
 
4.0%
w264
 
4.0%
.255
 
3.9%
a230
 
3.5%
i223
 
3.4%
Other values (65)3395
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4331
65.7%
Other Punctuation1058
 
16.0%
Decimal Number548
 
8.3%
Uppercase Letter538
 
8.2%
Dash Punctuation82
 
1.2%
Connector Punctuation20
 
0.3%
Math Symbol20
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t495
 
11.4%
s376
 
8.7%
e309
 
7.1%
o267
 
6.2%
h265
 
6.1%
w264
 
6.1%
a230
 
5.3%
i223
 
5.1%
p221
 
5.1%
m200
 
4.6%
Other values (16)1481
34.2%
Uppercase Letter
ValueCountFrequency (%)
A85
15.8%
E38
 
7.1%
C31
 
5.8%
D31
 
5.8%
L29
 
5.4%
Q29
 
5.4%
G28
 
5.2%
X28
 
5.2%
T27
 
5.0%
P21
 
3.9%
Other values (16)191
35.5%
Decimal Number
ValueCountFrequency (%)
069
12.6%
166
12.0%
562
11.3%
455
10.0%
955
10.0%
654
9.9%
851
9.3%
250
9.1%
348
8.8%
738
6.9%
Other Punctuation
ValueCountFrequency (%)
/518
49.0%
.255
24.1%
:211
19.9%
%57
 
5.4%
?13
 
1.2%
&2
 
0.2%
#1
 
0.1%
!1
 
0.1%
Math Symbol
ValueCountFrequency (%)
=15
75.0%
~3
 
15.0%
+2
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
-82
100.0%
Connector Punctuation
ValueCountFrequency (%)
_20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4869
73.8%
Common1728
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t495
 
10.2%
s376
 
7.7%
e309
 
6.3%
o267
 
5.5%
h265
 
5.4%
w264
 
5.4%
a230
 
4.7%
i223
 
4.6%
p221
 
4.5%
m200
 
4.1%
Other values (42)2019
41.5%
Common
ValueCountFrequency (%)
/518
30.0%
.255
14.8%
:211
12.2%
-82
 
4.7%
069
 
4.0%
166
 
3.8%
562
 
3.6%
%57
 
3.3%
455
 
3.2%
955
 
3.2%
Other values (13)298
17.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII6597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/518
 
7.9%
t495
 
7.5%
s376
 
5.7%
e309
 
4.7%
o267
 
4.0%
h265
 
4.0%
w264
 
4.0%
.255
 
3.9%
a230
 
3.5%
i223
 
3.4%
Other values (65)3395
51.5%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
118 
20:00
 
9
21:20
 
3
12:00
 
3
21:00
 
3
Other values (14)
16 

Length

Max length5
Median length0
Mean length1.118421053
Min length0

Characters and Unicode

Total characters170
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)7.9%

Sample

1st row08:10
2nd row
3rd row12:00
4th row
5th row12:00

Common Values

ValueCountFrequency (%)
118
77.6%
20:009
 
5.9%
21:203
 
2.0%
12:003
 
2.0%
21:003
 
2.0%
10:002
 
1.3%
11:002
 
1.3%
19:001
 
0.7%
15:001
 
0.7%
20:551
 
0.7%
Other values (9)9
 
5.9%

Length

2022-09-05T21:40:49.188470image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:009
26.5%
12:003
 
8.8%
21:003
 
8.8%
21:203
 
8.8%
10:002
 
5.9%
11:002
 
5.9%
18:001
 
2.9%
22:001
 
2.9%
06:001
 
2.9%
17:351
 
2.9%
Other values (8)8
23.5%

Most occurring characters

ValueCountFrequency (%)
073
42.9%
:34
20.0%
227
 
15.9%
122
 
12.9%
55
 
2.9%
83
 
1.8%
92
 
1.2%
72
 
1.2%
31
 
0.6%
61
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number136
80.0%
Other Punctuation34
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
073
53.7%
227
 
19.9%
122
 
16.2%
55
 
3.7%
83
 
2.2%
92
 
1.5%
72
 
1.5%
31
 
0.7%
61
 
0.7%
Other Punctuation
ValueCountFrequency (%)
:34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
073
42.9%
:34
20.0%
227
 
15.9%
122
 
12.9%
55
 
2.9%
83
 
1.8%
92
 
1.2%
72
 
1.2%
31
 
0.6%
61
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
073
42.9%
:34
20.0%
227
 
15.9%
122
 
12.9%
55
 
2.9%
83
 
1.8%
92
 
1.2%
72
 
1.2%
31
 
0.6%
61
 
0.6%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1.3 KiB

_embedded.show.rating.average
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)37.5%
Missing120
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean6.98125
Minimum5.3
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:49.261278image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.355
Q17
median7.3
Q37.5
95-th percentile7.89
Maximum8.1
Range2.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.865629549
Coefficient of variation (CV)0.1239934896
Kurtosis-0.1070800185
Mean6.98125
Median Absolute Deviation (MAD)0.2
Skewness-1.134763578
Sum223.4
Variance0.7493145161
MonotonicityNot monotonic
2022-09-05T21:40:49.345344image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7.511
 
7.2%
7.16
 
3.9%
5.44
 
2.6%
5.32
 
1.3%
72
 
1.3%
7.61
 
0.7%
7.41
 
0.7%
81
 
0.7%
7.81
 
0.7%
8.11
 
0.7%
Other values (2)2
 
1.3%
(Missing)120
78.9%
ValueCountFrequency (%)
5.32
 
1.3%
5.44
 
2.6%
61
 
0.7%
72
 
1.3%
7.16
3.9%
7.21
 
0.7%
7.41
 
0.7%
7.511
7.2%
7.61
 
0.7%
7.81
 
0.7%
ValueCountFrequency (%)
8.11
 
0.7%
81
 
0.7%
7.81
 
0.7%
7.61
 
0.7%
7.511
7.2%
7.41
 
0.7%
7.21
 
0.7%
7.16
3.9%
72
 
1.3%
61
 
0.7%

_embedded.show.weight
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct57
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.03947368
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:49.455329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q119.5
median33
Q378
95-th percentile95
Maximum99
Range97
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation31.47707703
Coefficient of variation (CV)0.7147468941
Kurtosis-1.194153357
Mean44.03947368
Median Absolute Deviation (MAD)19
Skewness0.5167859924
Sum6694
Variance990.8063785
MonotonicityNot monotonic
2022-09-05T21:40:49.581145image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3011
 
7.2%
1410
 
6.6%
39
 
5.9%
958
 
5.3%
247
 
4.6%
937
 
4.6%
927
 
4.6%
346
 
3.9%
334
 
2.6%
854
 
2.6%
Other values (47)79
52.0%
ValueCountFrequency (%)
21
 
0.7%
39
5.9%
61
 
0.7%
74
 
2.6%
82
 
1.3%
93
 
2.0%
111
 
0.7%
132
 
1.3%
1410
6.6%
152
 
1.3%
ValueCountFrequency (%)
993
 
2.0%
958
5.3%
937
4.6%
927
4.6%
911
 
0.7%
901
 
0.7%
891
 
0.7%
871
 
0.7%
854
2.6%
831
 
0.7%

_embedded.show.network.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct9
Distinct (%)90.0%
Missing142
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean515.9
Minimum106
Maximum1808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:49.671615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile108.7
Q1164.25
median290
Q3479
95-th percentile1562.3
Maximum1808
Range1702
Interquartile range (IQR)314.75

Descriptive statistics

Standard deviation566.5420353
Coefficient of variation (CV)1.098162503
Kurtosis2.405981299
Mean515.9
Median Absolute Deviation (MAD)170.5
Skewness1.786457131
Sum5159
Variance320969.8778
MonotonicityNot monotonic
2022-09-05T21:40:49.750487image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2762
 
1.3%
3041
 
0.7%
12621
 
0.7%
5141
 
0.7%
18081
 
0.7%
1271
 
0.7%
3741
 
0.7%
1121
 
0.7%
1061
 
0.7%
(Missing)142
93.4%
ValueCountFrequency (%)
1061
0.7%
1121
0.7%
1271
0.7%
2762
1.3%
3041
0.7%
3741
0.7%
5141
0.7%
12621
0.7%
18081
0.7%
ValueCountFrequency (%)
18081
0.7%
12621
0.7%
5141
0.7%
3741
0.7%
3041
0.7%
2762
1.3%
1271
0.7%
1121
0.7%
1061
0.7%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct9
Distinct (%)90.0%
Missing142
Missing (%)93.4%
Memory size1.3 KiB
Hunan TV
СТС
One31
ТВ-3
MBC Masr
Other values (4)

Length

Max length8
Median length6.5
Mean length5.9
Min length3

Characters and Unicode

Total characters59
Distinct characters31
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st rowСТС
2nd rowOne31
3rd rowТВ-3
4th rowMBC Masr
5th rowHunan TV

Common Values

ValueCountFrequency (%)
Hunan TV2
 
1.3%
СТС1
 
0.7%
One311
 
0.7%
ТВ-31
 
0.7%
MBC Masr1
 
0.7%
SBS1
 
0.7%
TV Globo1
 
0.7%
RTL41
 
0.7%
France 21
 
0.7%
(Missing)142
93.4%

Length

2022-09-05T21:40:49.835150image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:49.936380image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
tv3
20.0%
hunan2
13.3%
стс1
 
6.7%
one311
 
6.7%
тв-31
 
6.7%
mbc1
 
6.7%
masr1
 
6.7%
sbs1
 
6.7%
globo1
 
6.7%
rtl41
 
6.7%
Other values (2)2
13.3%

Most occurring characters

ValueCountFrequency (%)
n6
 
10.2%
5
 
8.5%
a4
 
6.8%
T4
 
6.8%
V3
 
5.1%
H2
 
3.4%
u2
 
3.4%
o2
 
3.4%
S2
 
3.4%
r2
 
3.4%
Other values (21)27
45.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter26
44.1%
Lowercase Letter22
37.3%
Space Separator5
 
8.5%
Decimal Number5
 
8.5%
Dash Punctuation1
 
1.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T4
15.4%
V3
11.5%
H2
 
7.7%
S2
 
7.7%
B2
 
7.7%
M2
 
7.7%
С2
 
7.7%
Т2
 
7.7%
F1
 
3.8%
L1
 
3.8%
Other values (5)5
19.2%
Lowercase Letter
ValueCountFrequency (%)
n6
27.3%
a4
18.2%
u2
 
9.1%
o2
 
9.1%
r2
 
9.1%
e2
 
9.1%
c1
 
4.5%
b1
 
4.5%
l1
 
4.5%
s1
 
4.5%
Decimal Number
ValueCountFrequency (%)
32
40.0%
11
20.0%
41
20.0%
21
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin43
72.9%
Common11
 
18.6%
Cyrillic5
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n6
14.0%
a4
 
9.3%
T4
 
9.3%
V3
 
7.0%
H2
 
4.7%
u2
 
4.7%
o2
 
4.7%
S2
 
4.7%
r2
 
4.7%
B2
 
4.7%
Other values (12)14
32.6%
Common
ValueCountFrequency (%)
5
45.5%
32
 
18.2%
11
 
9.1%
41
 
9.1%
-1
 
9.1%
21
 
9.1%
Cyrillic
ValueCountFrequency (%)
С2
40.0%
Т2
40.0%
В1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII54
91.5%
Cyrillic5
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n6
 
11.1%
5
 
9.3%
a4
 
7.4%
T4
 
7.4%
V3
 
5.6%
H2
 
3.7%
u2
 
3.7%
o2
 
3.7%
S2
 
3.7%
r2
 
3.7%
Other values (18)22
40.7%
Cyrillic
ValueCountFrequency (%)
С2
40.0%
Т2
40.0%
В1
20.0%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)80.0%
Missing142
Missing (%)93.4%
Memory size1.3 KiB
Russian Federation
China
Thailand
Egypt
Korea, Republic of
Other values (3)

Length

Max length18
Median length11
Mean length10
Min length5

Characters and Unicode

Total characters100
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)60.0%

Sample

1st rowRussian Federation
2nd rowThailand
3rd rowRussian Federation
4th rowEgypt
5th rowChina

Common Values

ValueCountFrequency (%)
Russian Federation2
 
1.3%
China2
 
1.3%
Thailand1
 
0.7%
Egypt1
 
0.7%
Korea, Republic of1
 
0.7%
Brazil1
 
0.7%
Netherlands1
 
0.7%
France1
 
0.7%
(Missing)142
93.4%

Length

2022-09-05T21:40:50.029800image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:50.132987image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
russian2
14.3%
federation2
14.3%
china2
14.3%
thailand1
7.1%
egypt1
7.1%
korea1
7.1%
republic1
7.1%
of1
7.1%
brazil1
7.1%
netherlands1
7.1%

Most occurring characters

ValueCountFrequency (%)
a12
 
12.0%
i9
 
9.0%
n9
 
9.0%
e9
 
9.0%
r6
 
6.0%
s5
 
5.0%
h4
 
4.0%
4
 
4.0%
l4
 
4.0%
d4
 
4.0%
Other values (19)34
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter82
82.0%
Uppercase Letter13
 
13.0%
Space Separator4
 
4.0%
Other Punctuation1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a12
14.6%
i9
11.0%
n9
11.0%
e9
11.0%
r6
 
7.3%
s5
 
6.1%
h4
 
4.9%
l4
 
4.9%
d4
 
4.9%
t4
 
4.9%
Other values (9)16
19.5%
Uppercase Letter
ValueCountFrequency (%)
R3
23.1%
F3
23.1%
C2
15.4%
T1
 
7.7%
E1
 
7.7%
K1
 
7.7%
B1
 
7.7%
N1
 
7.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin95
95.0%
Common5
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a12
12.6%
i9
 
9.5%
n9
 
9.5%
e9
 
9.5%
r6
 
6.3%
s5
 
5.3%
h4
 
4.2%
l4
 
4.2%
d4
 
4.2%
t4
 
4.2%
Other values (17)29
30.5%
Common
ValueCountFrequency (%)
4
80.0%
,1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a12
 
12.0%
i9
 
9.0%
n9
 
9.0%
e9
 
9.0%
r6
 
6.0%
s5
 
5.0%
h4
 
4.0%
4
 
4.0%
l4
 
4.0%
d4
 
4.0%
Other values (19)34
34.0%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)80.0%
Missing142
Missing (%)93.4%
Memory size1.3 KiB
RU
CN
TH
EG
KR
Other values (3)

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters20
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)60.0%

Sample

1st rowRU
2nd rowTH
3rd rowRU
4th rowEG
5th rowCN

Common Values

ValueCountFrequency (%)
RU2
 
1.3%
CN2
 
1.3%
TH1
 
0.7%
EG1
 
0.7%
KR1
 
0.7%
BR1
 
0.7%
NL1
 
0.7%
FR1
 
0.7%
(Missing)142
93.4%

Length

2022-09-05T21:40:50.225937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:50.329597image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
ru2
20.0%
cn2
20.0%
th1
10.0%
eg1
10.0%
kr1
10.0%
br1
10.0%
nl1
10.0%
fr1
10.0%

Most occurring characters

ValueCountFrequency (%)
R5
25.0%
N3
15.0%
U2
 
10.0%
C2
 
10.0%
T1
 
5.0%
H1
 
5.0%
E1
 
5.0%
G1
 
5.0%
K1
 
5.0%
B1
 
5.0%
Other values (2)2
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter20
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R5
25.0%
N3
15.0%
U2
 
10.0%
C2
 
10.0%
T1
 
5.0%
H1
 
5.0%
E1
 
5.0%
G1
 
5.0%
K1
 
5.0%
B1
 
5.0%
Other values (2)2
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Latin20
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R5
25.0%
N3
15.0%
U2
 
10.0%
C2
 
10.0%
T1
 
5.0%
H1
 
5.0%
E1
 
5.0%
G1
 
5.0%
K1
 
5.0%
B1
 
5.0%
Other values (2)2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R5
25.0%
N3
15.0%
U2
 
10.0%
C2
 
10.0%
T1
 
5.0%
H1
 
5.0%
E1
 
5.0%
G1
 
5.0%
K1
 
5.0%
B1
 
5.0%
Other values (2)2
 
10.0%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)80.0%
Missing142
Missing (%)93.4%
Memory size1.3 KiB
Asia/Kamchatka
Asia/Shanghai
Asia/Bangkok
Africa/Cairo
Asia/Seoul
Other values (3)

Length

Max length16
Median length14.5
Mean length13.1
Min length10

Characters and Unicode

Total characters131
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)60.0%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Bangkok
3rd rowAsia/Kamchatka
4th rowAfrica/Cairo
5th rowAsia/Shanghai

Common Values

ValueCountFrequency (%)
Asia/Kamchatka2
 
1.3%
Asia/Shanghai2
 
1.3%
Asia/Bangkok1
 
0.7%
Africa/Cairo1
 
0.7%
Asia/Seoul1
 
0.7%
America/Noronha1
 
0.7%
Europe/Amsterdam1
 
0.7%
Europe/Paris1
 
0.7%
(Missing)142
93.4%

Length

2022-09-05T21:40:50.423071image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:50.523460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/kamchatka2
20.0%
asia/shanghai2
20.0%
asia/bangkok1
10.0%
africa/cairo1
10.0%
asia/seoul1
10.0%
america/noronha1
10.0%
europe/amsterdam1
10.0%
europe/paris1
10.0%

Most occurring characters

ValueCountFrequency (%)
a23
17.6%
i12
 
9.2%
/10
 
7.6%
A9
 
6.9%
r8
 
6.1%
s8
 
6.1%
o7
 
5.3%
h7
 
5.3%
m5
 
3.8%
e5
 
3.8%
Other values (17)37
28.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter101
77.1%
Uppercase Letter20
 
15.3%
Other Punctuation10
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a23
22.8%
i12
11.9%
r8
 
7.9%
s8
 
7.9%
o7
 
6.9%
h7
 
6.9%
m5
 
5.0%
e5
 
5.0%
c4
 
4.0%
k4
 
4.0%
Other values (8)18
17.8%
Uppercase Letter
ValueCountFrequency (%)
A9
45.0%
S3
 
15.0%
K2
 
10.0%
E2
 
10.0%
B1
 
5.0%
C1
 
5.0%
N1
 
5.0%
P1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin121
92.4%
Common10
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a23
19.0%
i12
 
9.9%
A9
 
7.4%
r8
 
6.6%
s8
 
6.6%
o7
 
5.8%
h7
 
5.8%
m5
 
4.1%
e5
 
4.1%
c4
 
3.3%
Other values (16)33
27.3%
Common
ValueCountFrequency (%)
/10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a23
17.6%
i12
 
9.2%
/10
 
7.6%
A9
 
6.9%
r8
 
6.1%
s8
 
6.1%
o7
 
5.3%
h7
 
5.3%
m5
 
3.8%
e5
 
3.8%
Other values (17)37
28.2%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct45
Distinct (%)29.8%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean173.7152318
Minimum1
Maximum516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:50.622142image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q130
median117
Q3329
95-th percentile426
Maximum516
Range515
Interquartile range (IQR)299

Descriptive statistics

Standard deviation145.0205676
Coefficient of variation (CV)0.8348178
Kurtosis-1.159314737
Mean173.7152318
Median Absolute Deviation (MAD)96
Skewness0.4831454884
Sum26231
Variance21030.96503
MonotonicityNot monotonic
2022-09-05T21:40:50.732629image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2126
17.1%
32919
 
12.5%
6710
 
6.6%
1049
 
5.9%
18
 
5.3%
1188
 
5.3%
4267
 
4.6%
1176
 
3.9%
2264
 
2.6%
1074
 
2.6%
Other values (35)50
32.9%
ValueCountFrequency (%)
18
 
5.3%
121
 
0.7%
152
 
1.3%
2126
17.1%
302
 
1.3%
451
 
0.7%
511
 
0.7%
523
 
2.0%
6710
 
6.6%
882
 
1.3%
ValueCountFrequency (%)
5161
 
0.7%
5101
 
0.7%
4521
 
0.7%
4267
4.6%
4161
 
0.7%
3841
 
0.7%
3801
 
0.7%
3793
2.0%
3661
 
0.7%
3651
 
0.7%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION

Distinct45
Distinct (%)29.8%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
YouTube
26 
HBO Max
19 
iQIYI
10 
Tencent QQ
Netflix
Other values (40)
79 

Length

Max length15
Median length14
Mean length7.092715232
Min length4

Characters and Unicode

Total characters1071
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)15.9%

Sample

1st rowYouTube
2nd rowV LIVE
3rd rowOkko
4th rowStart
5th rowPremier

Common Values

ValueCountFrequency (%)
YouTube26
17.1%
HBO Max19
 
12.5%
iQIYI10
 
6.6%
Tencent QQ9
 
5.9%
Netflix8
 
5.3%
Youku8
 
5.3%
Binge7
 
4.6%
Sky Go6
 
3.9%
Mango TV4
 
2.6%
Paramount+4
 
2.6%
Other values (35)50
32.9%

Length

2022-09-05T21:40:50.827656image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
youtube26
 
12.1%
hbo19
 
8.9%
max19
 
8.9%
tv12
 
5.6%
iqiyi10
 
4.7%
tencent9
 
4.2%
qq9
 
4.2%
netflix8
 
3.7%
youku8
 
3.7%
binge7
 
3.3%
Other values (49)87
40.7%

Most occurring characters

ValueCountFrequency (%)
e83
 
7.7%
u76
 
7.1%
63
 
5.9%
o63
 
5.9%
a56
 
5.2%
T53
 
4.9%
i47
 
4.4%
Y44
 
4.1%
t39
 
3.6%
n39
 
3.6%
Other values (44)508
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter630
58.8%
Uppercase Letter363
33.9%
Space Separator63
 
5.9%
Math Symbol6
 
0.6%
Decimal Number6
 
0.6%
Other Punctuation3
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T53
14.6%
Y44
12.1%
B31
 
8.5%
Q28
 
7.7%
M25
 
6.9%
I24
 
6.6%
V21
 
5.8%
O21
 
5.8%
H19
 
5.2%
N15
 
4.1%
Other values (15)82
22.6%
Lowercase Letter
ValueCountFrequency (%)
e83
13.2%
u76
12.1%
o63
10.0%
a56
 
8.9%
i47
 
7.5%
t39
 
6.2%
n39
 
6.2%
b31
 
4.9%
x28
 
4.4%
l27
 
4.3%
Other values (14)141
22.4%
Decimal Number
ValueCountFrequency (%)
23
50.0%
43
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Math Symbol
ValueCountFrequency (%)
+6
100.0%
Other Punctuation
ValueCountFrequency (%)
.3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin993
92.7%
Common78
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e83
 
8.4%
u76
 
7.7%
o63
 
6.3%
a56
 
5.6%
T53
 
5.3%
i47
 
4.7%
Y44
 
4.4%
t39
 
3.9%
n39
 
3.9%
B31
 
3.1%
Other values (39)462
46.5%
Common
ValueCountFrequency (%)
63
80.8%
+6
 
7.7%
.3
 
3.8%
23
 
3.8%
43
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e83
 
7.7%
u76
 
7.1%
63
 
5.9%
o63
 
5.9%
a56
 
5.2%
T53
 
4.9%
i47
 
4.4%
Y44
 
4.1%
t39
 
3.6%
n39
 
3.6%
Other values (44)508
47.4%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)16.3%
Missing54
Missing (%)35.5%
Memory size1.3 KiB
https://www.youtube.com
26 
https://www.hbomax.com/
19 
https://www.iq.com/
10 
https://v.qq.com/
https://www.netflix.com/
Other values (11)
26 

Length

Max length40
Median length30
Mean length23.42857143
Min length17

Characters and Unicode

Total characters2296
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.1%

Sample

1st rowhttps://www.youtube.com
2nd rowhttps://www.vlive.tv/home
3rd rowhttps://www.seezntv.com/
4th rowhttps://v.qq.com/
5th rowhttps://v.qq.com/

Common Values

ValueCountFrequency (%)
https://www.youtube.com26
17.1%
https://www.hbomax.com/19
 
12.5%
https://www.iq.com/10
 
6.6%
https://v.qq.com/9
 
5.9%
https://www.netflix.com/8
 
5.3%
https://www.sky.com/watch/sky-go/windows6
 
3.9%
https://www.paramountplus.com/4
 
2.6%
https://w.mgtv.com/4
 
2.6%
https://www.channel4.com/3
 
2.0%
https://www.linetv.tw/2
 
1.3%
Other values (6)7
 
4.6%
(Missing)54
35.5%

Length

2022-09-05T21:40:50.913666image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.youtube.com26
26.5%
https://www.hbomax.com19
19.4%
https://www.iq.com10
 
10.2%
https://v.qq.com9
 
9.2%
https://www.netflix.com8
 
8.2%
https://www.sky.com/watch/sky-go/windows6
 
6.1%
https://www.paramountplus.com4
 
4.1%
https://w.mgtv.com4
 
4.1%
https://www.channel4.com3
 
3.1%
https://www.linetv.tw2
 
2.0%
Other values (6)7
 
7.1%

Most occurring characters

ValueCountFrequency (%)
/280
12.2%
w270
11.8%
t254
11.1%
.196
 
8.5%
o161
 
7.0%
h127
 
5.5%
m123
 
5.4%
s123
 
5.4%
p108
 
4.7%
c105
 
4.6%
Other values (20)549
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1713
74.6%
Other Punctuation574
 
25.0%
Dash Punctuation6
 
0.3%
Decimal Number3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w270
15.8%
t254
14.8%
o161
9.4%
h127
 
7.4%
m123
 
7.2%
s123
 
7.2%
p108
 
6.3%
c105
 
6.1%
u61
 
3.6%
e47
 
2.7%
Other values (15)334
19.5%
Other Punctuation
ValueCountFrequency (%)
/280
48.8%
.196
34.1%
:98
 
17.1%
Dash Punctuation
ValueCountFrequency (%)
-6
100.0%
Decimal Number
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1713
74.6%
Common583
 
25.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w270
15.8%
t254
14.8%
o161
9.4%
h127
 
7.4%
m123
 
7.2%
s123
 
7.2%
p108
 
6.3%
c105
 
6.1%
u61
 
3.6%
e47
 
2.7%
Other values (15)334
19.5%
Common
ValueCountFrequency (%)
/280
48.0%
.196
33.6%
:98
 
16.8%
-6
 
1.0%
43
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII2296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/280
12.2%
w270
11.8%
t254
11.1%
.196
 
8.5%
o161
 
7.0%
h127
 
5.5%
m123
 
5.4%
s123
 
5.4%
p108
 
4.7%
c105
 
4.6%
Other values (20)549
23.9%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing150
Missing (%)98.7%
Memory size1.3 KiB
5152.0
19056.0

Length

Max length7
Median length6.5
Mean length6.5
Min length6

Characters and Unicode

Total characters13
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row5152.0
2nd row19056.0

Common Values

ValueCountFrequency (%)
5152.01
 
0.7%
19056.01
 
0.7%
(Missing)150
98.7%

Length

2022-09-05T21:40:50.995515image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:51.088937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
5152.01
50.0%
19056.01
50.0%

Most occurring characters

ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number11
84.6%
Other Punctuation2
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
53
27.3%
03
27.3%
12
18.2%
21
 
9.1%
91
 
9.1%
61
 
9.1%
Other Punctuation
ValueCountFrequency (%)
.2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common13
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct73
Distinct (%)61.9%
Missing34
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean356379.178
Minimum78419
Maximum394045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:51.183260image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum78419
5-th percentile264747.5
Q1333005.75
median376472
Q3391951
95-th percentile393229
Maximum394045
Range315626
Interquartile range (IQR)58945.25

Descriptive statistics

Standard deviation52668.6777
Coefficient of variation (CV)0.1477883135
Kurtosis9.736856627
Mean356379.178
Median Absolute Deviation (MAD)15914
Skewness-2.66514513
Sum42052743
Variance2773989610
MonotonicityNot monotonic
2022-09-05T21:40:51.303240image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3764728
 
5.3%
3932298
 
5.3%
3822967
 
4.6%
3257206
 
3.9%
3387384
 
2.6%
3700553
 
2.0%
3921622
 
1.3%
2787932
 
1.3%
3226732
 
1.3%
3922132
 
1.3%
Other values (63)74
48.7%
(Missing)34
22.4%
ValueCountFrequency (%)
784191
0.7%
1042711
0.7%
2327311
0.7%
2555641
0.7%
2602081
0.7%
2622231
0.7%
2651932
1.3%
2724681
0.7%
2740541
0.7%
2787932
1.3%
ValueCountFrequency (%)
3940451
 
0.7%
3938702
 
1.3%
3937431
 
0.7%
3932298
5.3%
3926821
 
0.7%
3926792
 
1.3%
3926491
 
0.7%
3924102
 
1.3%
3923622
 
1.3%
3922521
 
0.7%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct49
Distinct (%)59.8%
Missing70
Missing (%)46.1%
Memory size1.3 KiB
tt10795658
tt12355298
tt4607112
tt8146760
 
4
tt8871128
 
2
Other values (44)
55 

Length

Max length10
Median length10
Mean length9.609756098
Min length9

Characters and Unicode

Total characters788
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)40.2%

Sample

1st rowtt11477416
2nd rowtt11105888
3rd rowtt6859260
4th rowtt8871128
5th rowtt8871128

Common Values

ValueCountFrequency (%)
tt107956588
 
5.3%
tt123552987
 
4.6%
tt46071126
 
3.9%
tt81467604
 
2.6%
tt88711282
 
1.3%
tt17148102
 
1.3%
tt116099762
 
1.3%
tt65948822
 
1.3%
tt135688762
 
1.3%
tt135397102
 
1.3%
Other values (39)45
29.6%
(Missing)70
46.1%

Length

2022-09-05T21:40:51.399923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt107956588
 
9.8%
tt123552987
 
8.5%
tt46071126
 
7.3%
tt81467604
 
4.9%
tt135397102
 
2.4%
tt134703702
 
2.4%
tt136424462
 
2.4%
tt135170002
 
2.4%
tt136525522
 
2.4%
tt75695762
 
2.4%
Other values (39)45
54.9%

Most occurring characters

ValueCountFrequency (%)
t164
20.8%
1100
12.7%
674
9.4%
268
8.6%
565
 
8.2%
060
 
7.6%
860
 
7.6%
355
 
7.0%
752
 
6.6%
447
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number624
79.2%
Lowercase Letter164
 
20.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1100
16.0%
674
11.9%
268
10.9%
565
10.4%
060
9.6%
860
9.6%
355
8.8%
752
8.3%
447
7.5%
943
6.9%
Lowercase Letter
ValueCountFrequency (%)
t164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common624
79.2%
Latin164
 
20.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1100
16.0%
674
11.9%
268
10.9%
565
10.4%
060
9.6%
860
9.6%
355
8.8%
752
8.3%
447
7.5%
943
6.9%
Latin
ValueCountFrequency (%)
t164
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII788
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t164
20.8%
1100
12.7%
674
9.4%
268
8.6%
565
 
8.2%
060
 
7.6%
860
 
7.6%
355
 
7.0%
752
 
6.6%
447
 
6.0%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct95
Distinct (%)63.3%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
https://static.tvmaze.com/uploads/images/medium_portrait/283/707732.jpg
 
8
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg
 
8
https://static.tvmaze.com/uploads/images/medium_portrait/297/742543.jpg
 
7
https://static.tvmaze.com/uploads/images/medium_portrait/288/720640.jpg
 
7
https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpg
 
6
Other values (90)
114 

Length

Max length72
Median length71
Mean length71.01333333
Min length70

Characters and Unicode

Total characters10652
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)47.3%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/139/347681.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/51/128137.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/283/707732.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/297/742543.jpg7
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/288/720640.jpg7
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpg6
 
3.9%
https://static.tvmaze.com/uploads/images/medium_portrait/382/956804.jpg4
 
2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729462.jpg4
 
2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/217/543201.jpg3
 
2.0%
https://static.tvmaze.com/uploads/images/medium_portrait/280/700409.jpg2
 
1.3%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729421.jpg2
 
1.3%
Other values (85)99
65.1%

Length

2022-09-05T21:40:51.491653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/283/707732.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/297/742543.jpg7
 
4.7%
https://static.tvmaze.com/uploads/images/medium_portrait/288/720640.jpg7
 
4.7%
https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpg6
 
4.0%
https://static.tvmaze.com/uploads/images/medium_portrait/382/956804.jpg4
 
2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729462.jpg4
 
2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/217/543201.jpg3
 
2.0%
https://static.tvmaze.com/uploads/images/medium_portrait/259/649564.jpg2
 
1.3%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg2
 
1.3%
Other values (85)99
66.0%

Most occurring characters

ValueCountFrequency (%)
/1050
 
9.9%
t1050
 
9.9%
a750
 
7.0%
m750
 
7.0%
p600
 
5.6%
s600
 
5.6%
i600
 
5.6%
.450
 
4.2%
e450
 
4.2%
o450
 
4.2%
Other values (22)3902
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7500
70.4%
Other Punctuation1650
 
15.5%
Decimal Number1352
 
12.7%
Connector Punctuation150
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t1050
14.0%
a750
10.0%
m750
10.0%
p600
 
8.0%
s600
 
8.0%
i600
 
8.0%
e450
 
6.0%
o450
 
6.0%
d300
 
4.0%
u300
 
4.0%
Other values (8)1650
22.0%
Decimal Number
ValueCountFrequency (%)
2224
16.6%
7172
12.7%
8137
10.1%
9136
10.1%
0129
9.5%
1126
9.3%
4122
9.0%
3117
8.7%
5105
7.8%
684
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/1050
63.6%
.450
27.3%
:150
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7500
70.4%
Common3152
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t1050
14.0%
a750
10.0%
m750
10.0%
p600
 
8.0%
s600
 
8.0%
i600
 
8.0%
e450
 
6.0%
o450
 
6.0%
d300
 
4.0%
u300
 
4.0%
Other values (8)1650
22.0%
Common
ValueCountFrequency (%)
/1050
33.3%
.450
14.3%
2224
 
7.1%
7172
 
5.5%
_150
 
4.8%
:150
 
4.8%
8137
 
4.3%
9136
 
4.3%
0129
 
4.1%
1126
 
4.0%
Other values (4)428
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII10652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/1050
 
9.9%
t1050
 
9.9%
a750
 
7.0%
m750
 
7.0%
p600
 
5.6%
s600
 
5.6%
i600
 
5.6%
.450
 
4.2%
e450
 
4.2%
o450
 
4.2%
Other values (22)3902
36.6%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct95
Distinct (%)63.3%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
https://static.tvmaze.com/uploads/images/original_untouched/283/707732.jpg
 
8
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg
 
8
https://static.tvmaze.com/uploads/images/original_untouched/297/742543.jpg
 
7
https://static.tvmaze.com/uploads/images/original_untouched/288/720640.jpg
 
7
https://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg
 
6
Other values (90)
114 

Length

Max length75
Median length74
Mean length74.01333333
Min length73

Characters and Unicode

Total characters11102
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)47.3%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/139/347681.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/51/128137.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/283/707732.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/original_untouched/297/742543.jpg7
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/288/720640.jpg7
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg6
 
3.9%
https://static.tvmaze.com/uploads/images/original_untouched/382/956804.jpg4
 
2.6%
https://static.tvmaze.com/uploads/images/original_untouched/291/729462.jpg4
 
2.6%
https://static.tvmaze.com/uploads/images/original_untouched/217/543201.jpg3
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/280/700409.jpg2
 
1.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/729421.jpg2
 
1.3%
Other values (85)99
65.1%

Length

2022-09-05T21:40:51.592548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/283/707732.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg8
 
5.3%
https://static.tvmaze.com/uploads/images/original_untouched/297/742543.jpg7
 
4.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720640.jpg7
 
4.7%
https://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg6
 
4.0%
https://static.tvmaze.com/uploads/images/original_untouched/382/956804.jpg4
 
2.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/729462.jpg4
 
2.7%
https://static.tvmaze.com/uploads/images/original_untouched/217/543201.jpg3
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/259/649564.jpg2
 
1.3%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg2
 
1.3%
Other values (85)99
66.0%

Most occurring characters

ValueCountFrequency (%)
/1050
 
9.5%
t900
 
8.1%
a750
 
6.8%
s600
 
5.4%
i600
 
5.4%
o600
 
5.4%
p450
 
4.1%
c450
 
4.1%
.450
 
4.1%
g450
 
4.1%
Other values (23)4802
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7950
71.6%
Other Punctuation1650
 
14.9%
Decimal Number1352
 
12.2%
Connector Punctuation150
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t900
 
11.3%
a750
 
9.4%
s600
 
7.5%
i600
 
7.5%
o600
 
7.5%
p450
 
5.7%
c450
 
5.7%
g450
 
5.7%
m450
 
5.7%
e450
 
5.7%
Other values (9)2250
28.3%
Decimal Number
ValueCountFrequency (%)
2224
16.6%
7172
12.7%
8137
10.1%
9136
10.1%
0129
9.5%
1126
9.3%
4122
9.0%
3117
8.7%
5105
7.8%
684
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/1050
63.6%
.450
27.3%
:150
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7950
71.6%
Common3152
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t900
 
11.3%
a750
 
9.4%
s600
 
7.5%
i600
 
7.5%
o600
 
7.5%
p450
 
5.7%
c450
 
5.7%
g450
 
5.7%
m450
 
5.7%
e450
 
5.7%
Other values (9)2250
28.3%
Common
ValueCountFrequency (%)
/1050
33.3%
.450
14.3%
2224
 
7.1%
7172
 
5.5%
:150
 
4.8%
_150
 
4.8%
8137
 
4.3%
9136
 
4.3%
0129
 
4.1%
1126
 
4.0%
Other values (4)428
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII11102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/1050
 
9.5%
t900
 
8.1%
a750
 
6.8%
s600
 
5.4%
i600
 
5.4%
o600
 
5.4%
p450
 
4.1%
c450
 
4.1%
.450
 
4.1%
g450
 
4.1%
Other values (23)4802
43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct79
Distinct (%)59.8%
Missing20
Missing (%)13.2%
Memory size1.3 KiB
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>
 
8
<p>With his two friends, a video-game-obsessed young man finds himself in a strange version of Tokyo where they must compete in dangerous games to survive.</p>
 
8
<p><b>Shikol</b> is the story of a extremely beautiful girl with extremely bad luck. Beauty seems enemy in her case. The role of fate dominates the story. The protagonist Nandini's struggle, love, seduction &amp; suffering are the key features of this story.</p>
 
7
<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>
 
7
<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>
 
6
Other values (74)
96 

Length

Max length1483
Median length488
Mean length397.030303
Min length115

Characters and Unicode

Total characters52408
Distinct characters90
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)43.2%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
3rd row<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>
4th row<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>
5th row<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>

Common Values

ValueCountFrequency (%)
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>8
 
5.3%
<p>With his two friends, a video-game-obsessed young man finds himself in a strange version of Tokyo where they must compete in dangerous games to survive.</p>8
 
5.3%
<p><b>Shikol</b> is the story of a extremely beautiful girl with extremely bad luck. Beauty seems enemy in her case. The role of fate dominates the story. The protagonist Nandini's struggle, love, seduction &amp; suffering are the key features of this story.</p>7
 
4.6%
<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>7
 
4.6%
<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>6
 
3.9%
<p>‎The fashion company faced a crisis. Sun Chi, the young owner of the company, at a critical moment took over the management and became the new CEO. He promised his father that in three months he would be able to promote the project "promoting fashion" that will help to get out of the crisis. ‎ </p><p>‎Gio Intao, who wanted to be the queen of the fashion industry, by coincidence got into the company and became subordinate to the "devil", a young gene. Director Sun Chi.‎   </p><p>‎Sun Chi and Xiao Intao led a fashion company to resolve the crisis and open new markets, allowing Chinese fashion brands to enter the global market step by step. At the same time, they begin to feel each other.‎</p>4
 
2.6%
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>4
 
2.6%
<p>Fred Sirieix sets an extraordinary challenge for top chefs - to try to work out the secret techniques and recipes behind some of Britain's best-loved snacks, before creating their own replica.</p>3
 
2.0%
<p>Esme and Roy are best friends — and the best monstersitters in Monsterdale! The animated series from the makers of <i>Sesame Street</i> will bring little viewers into a colorful world where even the littlest monsters can overcome big challenges together.</p>2
 
1.3%
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>2
 
1.3%
Other values (69)81
53.3%
(Missing)20
 
13.2%

Length

2022-09-05T21:40:51.726734image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the498
 
5.7%
and313
 
3.6%
a303
 
3.5%
of262
 
3.0%
to222
 
2.5%
in162
 
1.9%
is102
 
1.2%
his95
 
1.1%
with92
 
1.1%
that72
 
0.8%
Other values (1934)6607
75.7%

Most occurring characters

ValueCountFrequency (%)
8572
16.4%
e4973
 
9.5%
t3364
 
6.4%
a3236
 
6.2%
o3096
 
5.9%
n3021
 
5.8%
i2942
 
5.6%
s2662
 
5.1%
r2387
 
4.6%
h2129
 
4.1%
Other values (80)16026
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter39658
75.7%
Space Separator8606
 
16.4%
Uppercase Letter1552
 
3.0%
Other Punctuation1458
 
2.8%
Math Symbol884
 
1.7%
Dash Punctuation131
 
0.2%
Decimal Number47
 
0.1%
Format40
 
0.1%
Close Punctuation15
 
< 0.1%
Open Punctuation15
 
< 0.1%
Other values (2)2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4973
12.5%
t3364
 
8.5%
a3236
 
8.2%
o3096
 
7.8%
n3021
 
7.6%
i2942
 
7.4%
s2662
 
6.7%
r2387
 
6.0%
h2129
 
5.4%
l1610
 
4.1%
Other values (21)10238
25.8%
Uppercase Letter
ValueCountFrequency (%)
T166
 
10.7%
S159
 
10.2%
H137
 
8.8%
C94
 
6.1%
W83
 
5.3%
A82
 
5.3%
B81
 
5.2%
M76
 
4.9%
L63
 
4.1%
D60
 
3.9%
Other values (16)551
35.5%
Other Punctuation
ValueCountFrequency (%)
,571
39.2%
.424
29.1%
/229
15.7%
'121
 
8.3%
"44
 
3.0%
!22
 
1.5%
;12
 
0.8%
:11
 
0.8%
&10
 
0.7%
?10
 
0.7%
Other values (2)4
 
0.3%
Decimal Number
ValueCountFrequency (%)
015
31.9%
214
29.8%
16
 
12.8%
53
 
6.4%
43
 
6.4%
63
 
6.4%
31
 
2.1%
71
 
2.1%
81
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
-109
83.2%
18
 
13.7%
4
 
3.1%
Space Separator
ValueCountFrequency (%)
8572
99.6%
 34
 
0.4%
Math Symbol
ValueCountFrequency (%)
<442
50.0%
>442
50.0%
Format
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
)15
100.0%
Open Punctuation
ValueCountFrequency (%)
(15
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin41210
78.6%
Common11198
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4973
12.1%
t3364
 
8.2%
a3236
 
7.9%
o3096
 
7.5%
n3021
 
7.3%
i2942
 
7.1%
s2662
 
6.5%
r2387
 
5.8%
h2129
 
5.2%
l1610
 
3.9%
Other values (47)11790
28.6%
Common
ValueCountFrequency (%)
8572
76.5%
,571
 
5.1%
<442
 
3.9%
>442
 
3.9%
.424
 
3.8%
/229
 
2.0%
'121
 
1.1%
-109
 
1.0%
"44
 
0.4%
40
 
0.4%
Other values (23)204
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII52303
99.8%
Punctuation65
 
0.1%
None40
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8572
16.4%
e4973
 
9.5%
t3364
 
6.4%
a3236
 
6.2%
o3096
 
5.9%
n3021
 
5.8%
i2942
 
5.6%
s2662
 
5.1%
r2387
 
4.6%
h2129
 
4.1%
Other values (69)15921
30.4%
Punctuation
ValueCountFrequency (%)
40
61.5%
18
27.7%
4
 
6.2%
2
 
3.1%
1
 
1.5%
None
ValueCountFrequency (%)
 34
85.0%
ø2
 
5.0%
é1
 
2.5%
ê1
 
2.5%
å1
 
2.5%
ã1
 
2.5%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct97
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1640574418
Minimum1607167585
Maximum1662346277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2022-09-05T21:40:51.851876image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1607167585
5-th percentile1609386546
Q11619633499
median1648190058
Q31655286093
95-th percentile1662297056
Maximum1662346277
Range55178692
Interquartile range (IQR)35652593.75

Descriptive statistics

Standard deviation18864009.13
Coefficient of variation (CV)0.01149841721
Kurtosis-1.062878806
Mean1640574418
Median Absolute Deviation (MAD)11267920
Skewness-0.654824842
Sum2.493673115 × 1011
Variance3.558508403 × 1014
MonotonicityNot monotonic
2022-09-05T21:40:51.970437image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16491780848
 
5.3%
16483095978
 
5.3%
16134870177
 
4.6%
16623178887
 
4.6%
16109097616
 
3.9%
16393002024
 
2.6%
16096716404
 
2.6%
16382831223
 
2.0%
16124368722
 
1.3%
16533803422
 
1.3%
Other values (87)101
66.4%
ValueCountFrequency (%)
16071675851
 
0.7%
16076272121
 
0.7%
16076383811
 
0.7%
16076387711
 
0.7%
16083319081
 
0.7%
16083343021
 
0.7%
16084990071
 
0.7%
16091051381
 
0.7%
16096167881
 
0.7%
16096716404
2.6%
ValueCountFrequency (%)
16623462771
 
0.7%
16623178887
4.6%
16622800111
 
0.7%
16622072181
 
0.7%
16620631391
 
0.7%
16620301001
 
0.7%
16620117761
 
0.7%
16617704651
 
0.7%
16616736371
 
0.7%
16616322671
 
0.7%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct97
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
https://api.tvmaze.com/shows/52806
 
8
https://api.tvmaze.com/shows/50036
 
8
https://api.tvmaze.com/shows/53609
 
7
https://api.tvmaze.com/shows/44654
 
7
https://api.tvmaze.com/shows/16078
 
6
Other values (92)
116 

Length

Max length34
Median length34
Mean length33.98026316
Min length33

Characters and Unicode

Total characters5165
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)48.0%

Sample

1st rowhttps://api.tvmaze.com/shows/34010
2nd rowhttps://api.tvmaze.com/shows/41648
3rd rowhttps://api.tvmaze.com/shows/10892
4th rowhttps://api.tvmaze.com/shows/43722
5th rowhttps://api.tvmaze.com/shows/48683

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/528068
 
5.3%
https://api.tvmaze.com/shows/500368
 
5.3%
https://api.tvmaze.com/shows/536097
 
4.6%
https://api.tvmaze.com/shows/446547
 
4.6%
https://api.tvmaze.com/shows/160786
 
3.9%
https://api.tvmaze.com/shows/266434
 
2.6%
https://api.tvmaze.com/shows/527824
 
2.6%
https://api.tvmaze.com/shows/441353
 
2.0%
https://api.tvmaze.com/shows/480412
 
1.3%
https://api.tvmaze.com/shows/527582
 
1.3%
Other values (87)101
66.4%

Length

2022-09-05T21:40:52.069080image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/528068
 
5.3%
https://api.tvmaze.com/shows/500368
 
5.3%
https://api.tvmaze.com/shows/536097
 
4.6%
https://api.tvmaze.com/shows/446547
 
4.6%
https://api.tvmaze.com/shows/160786
 
3.9%
https://api.tvmaze.com/shows/266434
 
2.6%
https://api.tvmaze.com/shows/527824
 
2.6%
https://api.tvmaze.com/shows/441353
 
2.0%
https://api.tvmaze.com/shows/527992
 
1.3%
https://api.tvmaze.com/shows/521812
 
1.3%
Other values (87)101
66.4%

Most occurring characters

ValueCountFrequency (%)
/608
 
11.8%
s456
 
8.8%
t456
 
8.8%
h304
 
5.9%
p304
 
5.9%
a304
 
5.9%
o304
 
5.9%
.304
 
5.9%
m304
 
5.9%
e152
 
2.9%
Other values (16)1669
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3344
64.7%
Other Punctuation1064
 
20.6%
Decimal Number757
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s456
13.6%
t456
13.6%
h304
9.1%
p304
9.1%
a304
9.1%
o304
9.1%
m304
9.1%
e152
 
4.5%
w152
 
4.5%
c152
 
4.5%
Other values (3)456
13.6%
Decimal Number
ValueCountFrequency (%)
5116
15.3%
093
12.3%
692
12.2%
492
12.2%
275
9.9%
871
9.4%
167
8.9%
362
8.2%
945
 
5.9%
744
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/608
57.1%
.304
28.6%
:152
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3344
64.7%
Common1821
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/608
33.4%
.304
16.7%
:152
 
8.3%
5116
 
6.4%
093
 
5.1%
692
 
5.1%
492
 
5.1%
275
 
4.1%
871
 
3.9%
167
 
3.7%
Other values (3)151
 
8.3%
Latin
ValueCountFrequency (%)
s456
13.6%
t456
13.6%
h304
9.1%
p304
9.1%
a304
9.1%
o304
9.1%
m304
9.1%
e152
 
4.5%
w152
 
4.5%
c152
 
4.5%
Other values (3)456
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII5165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/608
 
11.8%
s456
 
8.8%
t456
 
8.8%
h304
 
5.9%
p304
 
5.9%
a304
 
5.9%
o304
 
5.9%
.304
 
5.9%
m304
 
5.9%
e152
 
2.9%
Other values (16)1669
32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct97
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
https://api.tvmaze.com/episodes/2000083
 
8
https://api.tvmaze.com/episodes/1977351
 
8
https://api.tvmaze.com/episodes/2032525
 
7
https://api.tvmaze.com/episodes/2364567
 
7
https://api.tvmaze.com/episodes/1972778
 
6
Other values (92)
116 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5928
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)48.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1993635
2nd rowhttps://api.tvmaze.com/episodes/1988862
3rd rowhttps://api.tvmaze.com/episodes/2382770
4th rowhttps://api.tvmaze.com/episodes/1964003
5th rowhttps://api.tvmaze.com/episodes/2383519

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/20000838
 
5.3%
https://api.tvmaze.com/episodes/19773518
 
5.3%
https://api.tvmaze.com/episodes/20325257
 
4.6%
https://api.tvmaze.com/episodes/23645677
 
4.6%
https://api.tvmaze.com/episodes/19727786
 
3.9%
https://api.tvmaze.com/episodes/22343734
 
2.6%
https://api.tvmaze.com/episodes/19985844
 
2.6%
https://api.tvmaze.com/episodes/20637883
 
2.0%
https://api.tvmaze.com/episodes/20233072
 
1.3%
https://api.tvmaze.com/episodes/23326692
 
1.3%
Other values (87)101
66.4%

Length

2022-09-05T21:40:52.156210image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/20000838
 
5.3%
https://api.tvmaze.com/episodes/19773518
 
5.3%
https://api.tvmaze.com/episodes/20325257
 
4.6%
https://api.tvmaze.com/episodes/23645677
 
4.6%
https://api.tvmaze.com/episodes/19727786
 
3.9%
https://api.tvmaze.com/episodes/22343734
 
2.6%
https://api.tvmaze.com/episodes/19985844
 
2.6%
https://api.tvmaze.com/episodes/20637883
 
2.0%
https://api.tvmaze.com/episodes/19993032
 
1.3%
https://api.tvmaze.com/episodes/19824122
 
1.3%
Other values (87)101
66.4%

Most occurring characters

ValueCountFrequency (%)
/608
 
10.3%
t456
 
7.7%
p456
 
7.7%
s456
 
7.7%
e456
 
7.7%
a304
 
5.1%
i304
 
5.1%
.304
 
5.1%
m304
 
5.1%
o304
 
5.1%
Other values (16)1976
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3800
64.1%
Other Punctuation1064
 
17.9%
Decimal Number1064
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t456
12.0%
p456
12.0%
s456
12.0%
e456
12.0%
a304
8.0%
i304
8.0%
m304
8.0%
o304
8.0%
h152
 
4.0%
d152
 
4.0%
Other values (3)456
12.0%
Decimal Number
ValueCountFrequency (%)
2200
18.8%
3132
12.4%
7111
10.4%
9110
10.3%
1105
9.9%
0104
9.8%
589
8.4%
882
7.7%
677
 
7.2%
454
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/608
57.1%
.304
28.6%
:152
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3800
64.1%
Common2128
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/608
28.6%
.304
14.3%
2200
 
9.4%
:152
 
7.1%
3132
 
6.2%
7111
 
5.2%
9110
 
5.2%
1105
 
4.9%
0104
 
4.9%
589
 
4.2%
Other values (3)213
 
10.0%
Latin
ValueCountFrequency (%)
t456
12.0%
p456
12.0%
s456
12.0%
e456
12.0%
a304
8.0%
i304
8.0%
m304
8.0%
o304
8.0%
h152
 
4.0%
d152
 
4.0%
Other values (3)456
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/608
 
10.3%
t456
 
7.7%
p456
 
7.7%
s456
 
7.7%
e456
 
7.7%
a304
 
5.1%
i304
 
5.1%
.304
 
5.1%
m304
 
5.1%
o304
 
5.1%
Other values (16)1976
33.3%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)21.3%
Missing77
Missing (%)50.7%
Memory size1.3 KiB
China
22 
Russian Federation
10 
United Kingdom
Bangladesh
United States
Other values (11)
21 

Length

Max length18
Median length13
Mean length10.26666667
Min length5

Characters and Unicode

Total characters770
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)9.3%

Sample

1st rowKorea, Republic of
2nd rowRussian Federation
3rd rowRussian Federation
4th rowRussian Federation
5th rowRussian Federation

Common Values

ValueCountFrequency (%)
China22
 
14.5%
Russian Federation10
 
6.6%
United Kingdom9
 
5.9%
Bangladesh7
 
4.6%
United States6
 
3.9%
Korea, Republic of5
 
3.3%
Norway4
 
2.6%
Germany3
 
2.0%
Brazil2
 
1.3%
Malaysia1
 
0.7%
Other values (6)6
 
3.9%
(Missing)77
50.7%

Length

2022-09-05T21:40:52.249466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
china22
20.0%
united15
13.6%
russian10
9.1%
federation10
9.1%
kingdom9
8.2%
bangladesh7
 
6.4%
states6
 
5.5%
korea5
 
4.5%
republic5
 
4.5%
of5
 
4.5%
Other values (10)16
14.5%

Most occurring characters

ValueCountFrequency (%)
a84
 
10.9%
n80
 
10.4%
i78
 
10.1%
e67
 
8.7%
d42
 
5.5%
t39
 
5.1%
s37
 
4.8%
35
 
4.5%
o33
 
4.3%
h32
 
4.2%
Other values (26)243
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter625
81.2%
Uppercase Letter105
 
13.6%
Space Separator35
 
4.5%
Other Punctuation5
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a84
13.4%
n80
12.8%
i78
12.5%
e67
10.7%
d42
 
6.7%
t39
 
6.2%
s37
 
5.9%
o33
 
5.3%
h32
 
5.1%
r27
 
4.3%
Other values (12)106
17.0%
Uppercase Letter
ValueCountFrequency (%)
C22
21.0%
R15
14.3%
U15
14.3%
K15
14.3%
F11
10.5%
B10
9.5%
S6
 
5.7%
N5
 
4.8%
G3
 
2.9%
M1
 
1.0%
Other values (2)2
 
1.9%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
,5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin730
94.8%
Common40
 
5.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a84
 
11.5%
n80
 
11.0%
i78
 
10.7%
e67
 
9.2%
d42
 
5.8%
t39
 
5.3%
s37
 
5.1%
o33
 
4.5%
h32
 
4.4%
r27
 
3.7%
Other values (24)211
28.9%
Common
ValueCountFrequency (%)
35
87.5%
,5
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a84
 
10.9%
n80
 
10.4%
i78
 
10.1%
e67
 
8.7%
d42
 
5.5%
t39
 
5.1%
s37
 
4.8%
35
 
4.5%
o33
 
4.3%
h32
 
4.2%
Other values (26)243
31.6%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)21.3%
Missing77
Missing (%)50.7%
Memory size1.3 KiB
CN
22 
RU
10 
GB
BD
US
Other values (11)
21 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters150
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)9.3%

Sample

1st rowKR
2nd rowRU
3rd rowRU
4th rowRU
5th rowRU

Common Values

ValueCountFrequency (%)
CN22
 
14.5%
RU10
 
6.6%
GB9
 
5.9%
BD7
 
4.6%
US6
 
3.9%
KR5
 
3.3%
NO4
 
2.6%
DE3
 
2.0%
BR2
 
1.3%
MY1
 
0.7%
Other values (6)6
 
3.9%
(Missing)77
50.7%

Length

2022-09-05T21:40:52.335990image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cn22
29.3%
ru10
13.3%
gb9
12.0%
bd7
 
9.3%
us6
 
8.0%
kr5
 
6.7%
no4
 
5.3%
de3
 
4.0%
br2
 
2.7%
my1
 
1.3%
Other values (6)6
 
8.0%

Most occurring characters

ValueCountFrequency (%)
N27
18.0%
C22
14.7%
R19
12.7%
B19
12.7%
U16
10.7%
D10
 
6.7%
G9
 
6.0%
S6
 
4.0%
K6
 
4.0%
E4
 
2.7%
Other values (9)12
8.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter150
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N27
18.0%
C22
14.7%
R19
12.7%
B19
12.7%
U16
10.7%
D10
 
6.7%
G9
 
6.0%
S6
 
4.0%
K6
 
4.0%
E4
 
2.7%
Other values (9)12
8.0%

Most occurring scripts

ValueCountFrequency (%)
Latin150
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N27
18.0%
C22
14.7%
R19
12.7%
B19
12.7%
U16
10.7%
D10
 
6.7%
G9
 
6.0%
S6
 
4.0%
K6
 
4.0%
E4
 
2.7%
Other values (9)12
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N27
18.0%
C22
14.7%
R19
12.7%
B19
12.7%
U16
10.7%
D10
 
6.7%
G9
 
6.0%
S6
 
4.0%
K6
 
4.0%
E4
 
2.7%
Other values (9)12
8.0%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)21.3%
Missing77
Missing (%)50.7%
Memory size1.3 KiB
Asia/Shanghai
22 
Asia/Kamchatka
10 
Europe/London
Asia/Dhaka
America/New_York
Other values (11)
21 

Length

Max length16
Median length15
Mean length12.97333333
Min length10

Characters and Unicode

Total characters973
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)9.3%

Sample

1st rowAsia/Seoul
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAsia/Kamchatka
5th rowAsia/Kamchatka

Common Values

ValueCountFrequency (%)
Asia/Shanghai22
 
14.5%
Asia/Kamchatka10
 
6.6%
Europe/London9
 
5.9%
Asia/Dhaka7
 
4.6%
America/New_York6
 
3.9%
Asia/Seoul5
 
3.3%
Europe/Oslo4
 
2.6%
Europe/Busingen3
 
2.0%
America/Noronha2
 
1.3%
Asia/Kuching1
 
0.7%
Other values (6)6
 
3.9%
(Missing)77
50.7%

Length

2022-09-05T21:40:52.423519image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
asia/shanghai22
29.3%
asia/kamchatka10
13.3%
europe/london9
12.0%
asia/dhaka7
 
9.3%
america/new_york6
 
8.0%
asia/seoul5
 
6.7%
europe/oslo4
 
5.3%
europe/busingen3
 
4.0%
america/noronha2
 
2.7%
asia/kuching1
 
1.3%
Other values (6)6
 
8.0%

Most occurring characters

ValueCountFrequency (%)
a151
15.5%
i83
 
8.5%
/75
 
7.7%
h64
 
6.6%
s60
 
6.2%
o58
 
6.0%
A56
 
5.8%
n51
 
5.2%
e44
 
4.5%
r40
 
4.1%
Other values (27)291
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter736
75.6%
Uppercase Letter156
 
16.0%
Other Punctuation75
 
7.7%
Connector Punctuation6
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a151
20.5%
i83
11.3%
h64
8.7%
s60
 
8.2%
o58
 
7.9%
n51
 
6.9%
e44
 
6.0%
r40
 
5.4%
u31
 
4.2%
g26
 
3.5%
Other values (11)128
17.4%
Uppercase Letter
ValueCountFrequency (%)
A56
35.9%
S27
17.3%
E20
 
12.8%
K11
 
7.1%
L9
 
5.8%
N8
 
5.1%
D7
 
4.5%
Y6
 
3.8%
O4
 
2.6%
B4
 
2.6%
Other values (4)4
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/75
100.0%
Connector Punctuation
ValueCountFrequency (%)
_6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin892
91.7%
Common81
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a151
16.9%
i83
 
9.3%
h64
 
7.2%
s60
 
6.7%
o58
 
6.5%
A56
 
6.3%
n51
 
5.7%
e44
 
4.9%
r40
 
4.5%
u31
 
3.5%
Other values (25)254
28.5%
Common
ValueCountFrequency (%)
/75
92.6%
_6
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a151
15.5%
i83
 
8.5%
/75
 
7.7%
h64
 
6.6%
s60
 
6.2%
o58
 
6.0%
A56
 
5.8%
n51
 
5.2%
e44
 
4.5%
r40
 
4.1%
Other values (27)291
29.9%

image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct57
Distinct (%)100.0%
Missing95
Missing (%)62.5%
Memory size1.3 KiB
https://static.tvmaze.com/uploads/images/medium_landscape/289/723342.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/288/720708.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/288/720547.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/288/720548.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/288/720549.jpg
 
1
Other values (52)
52 

Length

Max length73
Median length72
Mean length72.05263158
Min length72

Characters and Unicode

Total characters4107
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/288/721274.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/301/752691.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/294/736708.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/288/720790.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/290/726344.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/289/723342.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720708.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720547.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720548.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720549.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720550.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720557.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720563.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720562.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720561.jpg1
 
0.7%
Other values (47)47
30.9%
(Missing)95
62.5%

Length

2022-09-05T21:40:52.509366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/289/723342.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/300/750798.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/301/752691.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/294/736708.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720790.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726344.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/289/724051.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721777.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720610.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714316.jpg1
 
1.8%
Other values (47)47
82.5%

Most occurring characters

ValueCountFrequency (%)
/399
 
9.7%
a342
 
8.3%
t285
 
6.9%
s285
 
6.9%
m285
 
6.9%
p228
 
5.6%
e228
 
5.6%
i171
 
4.2%
c171
 
4.2%
.171
 
4.2%
Other values (22)1542
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2907
70.8%
Other Punctuation627
 
15.3%
Decimal Number516
 
12.6%
Connector Punctuation57
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a342
11.8%
t285
9.8%
s285
9.8%
m285
9.8%
p228
 
7.8%
e228
 
7.8%
i171
 
5.9%
c171
 
5.9%
d171
 
5.9%
l114
 
3.9%
Other values (8)627
21.6%
Decimal Number
ValueCountFrequency (%)
2100
19.4%
891
17.6%
777
14.9%
067
13.0%
548
9.3%
331
 
6.0%
927
 
5.2%
127
 
5.2%
424
 
4.7%
624
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/399
63.6%
.171
27.3%
:57
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2907
70.8%
Common1200
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a342
11.8%
t285
9.8%
s285
9.8%
m285
9.8%
p228
 
7.8%
e228
 
7.8%
i171
 
5.9%
c171
 
5.9%
d171
 
5.9%
l114
 
3.9%
Other values (8)627
21.6%
Common
ValueCountFrequency (%)
/399
33.2%
.171
14.2%
2100
 
8.3%
891
 
7.6%
777
 
6.4%
067
 
5.6%
_57
 
4.8%
:57
 
4.8%
548
 
4.0%
331
 
2.6%
Other values (4)102
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII4107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/399
 
9.7%
a342
 
8.3%
t285
 
6.9%
s285
 
6.9%
m285
 
6.9%
p228
 
5.6%
e228
 
5.6%
i171
 
4.2%
c171
 
4.2%
.171
 
4.2%
Other values (22)1542
37.5%

image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct57
Distinct (%)100.0%
Missing95
Missing (%)62.5%
Memory size1.3 KiB
https://static.tvmaze.com/uploads/images/original_untouched/289/723342.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/288/720708.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/288/720547.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/288/720548.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/288/720549.jpg
 
1
Other values (52)
52 

Length

Max length75
Median length74
Mean length74.05263158
Min length74

Characters and Unicode

Total characters4221
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/288/721274.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/301/752691.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/294/736708.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/288/720790.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/290/726344.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/289/723342.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720708.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720547.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720548.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720549.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720550.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720557.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720563.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720562.jpg1
 
0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720561.jpg1
 
0.7%
Other values (47)47
30.9%
(Missing)95
62.5%

Length

2022-09-05T21:40:52.589782image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/289/723342.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/300/750798.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/301/752691.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/294/736708.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/720790.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/290/726344.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/724051.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/721777.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/720610.jpg1
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/285/714316.jpg1
 
1.8%
Other values (47)47
82.5%

Most occurring characters

ValueCountFrequency (%)
/399
 
9.5%
t342
 
8.1%
a285
 
6.8%
s228
 
5.4%
i228
 
5.4%
o228
 
5.4%
p171
 
4.1%
c171
 
4.1%
.171
 
4.1%
g171
 
4.1%
Other values (23)1827
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3021
71.6%
Other Punctuation627
 
14.9%
Decimal Number516
 
12.2%
Connector Punctuation57
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t342
 
11.3%
a285
 
9.4%
s228
 
7.5%
i228
 
7.5%
o228
 
7.5%
p171
 
5.7%
c171
 
5.7%
g171
 
5.7%
m171
 
5.7%
e171
 
5.7%
Other values (9)855
28.3%
Decimal Number
ValueCountFrequency (%)
2100
19.4%
891
17.6%
777
14.9%
067
13.0%
548
9.3%
331
 
6.0%
927
 
5.2%
127
 
5.2%
424
 
4.7%
624
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/399
63.6%
.171
27.3%
:57
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3021
71.6%
Common1200
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t342
 
11.3%
a285
 
9.4%
s228
 
7.5%
i228
 
7.5%
o228
 
7.5%
p171
 
5.7%
c171
 
5.7%
g171
 
5.7%
m171
 
5.7%
e171
 
5.7%
Other values (9)855
28.3%
Common
ValueCountFrequency (%)
/399
33.2%
.171
14.2%
2100
 
8.3%
891
 
7.6%
777
 
6.4%
067
 
5.6%
:57
 
4.8%
_57
 
4.8%
548
 
4.0%
331
 
2.6%
Other values (4)102
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII4221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/399
 
9.5%
t342
 
8.1%
a285
 
6.8%
s228
 
5.4%
i228
 
5.4%
o228
 
5.4%
p171
 
4.1%
c171
 
4.1%
.171
 
4.1%
g171
 
4.1%
Other values (23)1827
43.3%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING

Distinct7
Distinct (%)53.8%
Missing139
Missing (%)91.4%
Memory size1.3 KiB
https://api.tvmaze.com/episodes/2364568
https://api.tvmaze.com/episodes/2381297
https://api.tvmaze.com/episodes/2371287
https://api.tvmaze.com/episodes/2370312
https://api.tvmaze.com/episodes/2383474
Other values (2)

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters507
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)46.2%

Sample

1st rowhttps://api.tvmaze.com/episodes/2381297
2nd rowhttps://api.tvmaze.com/episodes/2371287
3rd rowhttps://api.tvmaze.com/episodes/2370312
4th rowhttps://api.tvmaze.com/episodes/2364568
5th rowhttps://api.tvmaze.com/episodes/2364568

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23645687
 
4.6%
https://api.tvmaze.com/episodes/23812971
 
0.7%
https://api.tvmaze.com/episodes/23712871
 
0.7%
https://api.tvmaze.com/episodes/23703121
 
0.7%
https://api.tvmaze.com/episodes/23834741
 
0.7%
https://api.tvmaze.com/episodes/23797031
 
0.7%
https://api.tvmaze.com/episodes/23820431
 
0.7%
(Missing)139
91.4%

Length

2022-09-05T21:40:52.668530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:52.760280image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23645687
53.8%
https://api.tvmaze.com/episodes/23812971
 
7.7%
https://api.tvmaze.com/episodes/23712871
 
7.7%
https://api.tvmaze.com/episodes/23703121
 
7.7%
https://api.tvmaze.com/episodes/23834741
 
7.7%
https://api.tvmaze.com/episodes/23797031
 
7.7%
https://api.tvmaze.com/episodes/23820431
 
7.7%

Most occurring characters

ValueCountFrequency (%)
/52
 
10.3%
p39
 
7.7%
s39
 
7.7%
e39
 
7.7%
t39
 
7.7%
a26
 
5.1%
i26
 
5.1%
.26
 
5.1%
m26
 
5.1%
o26
 
5.1%
Other values (16)169
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter325
64.1%
Other Punctuation91
 
17.9%
Decimal Number91
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p39
12.0%
s39
12.0%
e39
12.0%
t39
12.0%
a26
8.0%
i26
8.0%
m26
8.0%
o26
8.0%
h13
 
4.0%
d13
 
4.0%
Other values (3)39
12.0%
Decimal Number
ValueCountFrequency (%)
317
18.7%
217
18.7%
614
15.4%
811
12.1%
410
11.0%
57
7.7%
77
7.7%
13
 
3.3%
03
 
3.3%
92
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/52
57.1%
.26
28.6%
:13
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin325
64.1%
Common182
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/52
28.6%
.26
14.3%
317
 
9.3%
217
 
9.3%
614
 
7.7%
:13
 
7.1%
811
 
6.0%
410
 
5.5%
57
 
3.8%
77
 
3.8%
Other values (3)8
 
4.4%
Latin
ValueCountFrequency (%)
p39
12.0%
s39
12.0%
e39
12.0%
t39
12.0%
a26
8.0%
i26
8.0%
m26
8.0%
o26
8.0%
h13
 
4.0%
d13
 
4.0%
Other values (3)39
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/52
 
10.3%
p39
 
7.7%
s39
 
7.7%
e39
 
7.7%
t39
 
7.7%
a26
 
5.1%
i26
 
5.1%
.26
 
5.1%
m26
 
5.1%
o26
 
5.1%
Other values (16)169
33.3%

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing151
Missing (%)99.3%
Memory size1.3 KiB
Korea, Republic of

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowKorea, Republic of

Common Values

ValueCountFrequency (%)
Korea, Republic of1
 
0.7%
(Missing)151
99.3%

Length

2022-09-05T21:40:52.841836image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:52.916724image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
korea1
33.3%
republic1
33.3%
of1
33.3%

Most occurring characters

ValueCountFrequency (%)
o2
 
11.1%
e2
 
11.1%
2
 
11.1%
K1
 
5.6%
r1
 
5.6%
a1
 
5.6%
,1
 
5.6%
R1
 
5.6%
p1
 
5.6%
u1
 
5.6%
Other values (5)5
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13
72.2%
Space Separator2
 
11.1%
Uppercase Letter2
 
11.1%
Other Punctuation1
 
5.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o2
15.4%
e2
15.4%
r1
7.7%
a1
7.7%
p1
7.7%
u1
7.7%
b1
7.7%
l1
7.7%
i1
7.7%
c1
7.7%
Uppercase Letter
ValueCountFrequency (%)
K1
50.0%
R1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15
83.3%
Common3
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o2
13.3%
e2
13.3%
K1
 
6.7%
r1
 
6.7%
a1
 
6.7%
R1
 
6.7%
p1
 
6.7%
u1
 
6.7%
b1
 
6.7%
l1
 
6.7%
Other values (3)3
20.0%
Common
ValueCountFrequency (%)
2
66.7%
,1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o2
 
11.1%
e2
 
11.1%
2
 
11.1%
K1
 
5.6%
r1
 
5.6%
a1
 
5.6%
,1
 
5.6%
R1
 
5.6%
p1
 
5.6%
u1
 
5.6%
Other values (5)5
27.8%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing151
Missing (%)99.3%
Memory size1.3 KiB
KR

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowKR

Common Values

ValueCountFrequency (%)
KR1
 
0.7%
(Missing)151
99.3%

Length

2022-09-05T21:40:52.982441image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:53.054913image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
kr1
100.0%

Most occurring characters

ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing151
Missing (%)99.3%
Memory size1.3 KiB
Asia/Seoul

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAsia/Seoul

Common Values

ValueCountFrequency (%)
Asia/Seoul1
 
0.7%
(Missing)151
99.3%

Length

2022-09-05T21:40:53.120026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:40:53.193208image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/seoul1
100.0%

Most occurring characters

ValueCountFrequency (%)
A1
10.0%
s1
10.0%
i1
10.0%
a1
10.0%
/1
10.0%
S1
10.0%
e1
10.0%
o1
10.0%
u1
10.0%
l1
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7
70.0%
Uppercase Letter2
 
20.0%
Other Punctuation1
 
10.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s1
14.3%
i1
14.3%
a1
14.3%
e1
14.3%
o1
14.3%
u1
14.3%
l1
14.3%
Uppercase Letter
ValueCountFrequency (%)
A1
50.0%
S1
50.0%
Other Punctuation
ValueCountFrequency (%)
/1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9
90.0%
Common1
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A1
11.1%
s1
11.1%
i1
11.1%
a1
11.1%
S1
11.1%
e1
11.1%
o1
11.1%
u1
11.1%
l1
11.1%
Common
ValueCountFrequency (%)
/1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A1
10.0%
s1
10.0%
i1
10.0%
a1
10.0%
/1
10.0%
S1
10.0%
e1
10.0%
o1
10.0%
u1
10.0%
l1
10.0%

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing152
Missing (%)100.0%
Memory size1.3 KiB

Interactions

2022-09-05T21:40:42.827604image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:26.941578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:27.984575image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:28.961679image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:29.958325image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:30.918102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:35.090400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:36.075642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:37.005510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:37.962638image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:38.920030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:39.905287image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:40.879932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:41.856061image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:42.894389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:27.114064image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:28.054649image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:29.031325image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:30.028627image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:30.984758image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:35.159837image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:36.142434image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:37.070172image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:38.024419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:38.991807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:39.975685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:40.951119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:41.928400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:42.965606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:27.189355image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:28.127093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:29.116847image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:30.112430image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:31.056961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:35.239003image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:36.211447image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:37.141576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:38.088616image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:39.074511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:40.057873image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:41.021844image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:42.004843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:40:43.038662image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
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Correlations

2022-09-05T21:40:53.281022image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-05T21:40:53.522841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-05T21:40:53.793725image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-05T21:40:54.068370image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-09-05T21:40:44.059712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-05T21:40:44.787297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-05T21:40:45.305996image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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01993635https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarokПодарок167.0regular2020-12-1008:102020-12-09T20:10:00+00:003.0NaNNoneNaNhttps://api.tvmaze.com/episodes/199363534010https://www.tvmaze.com/shows/34010/azbuki-smesarikovАзбуки СмешариковAnimationRussian[Children, Family]RunningNaN3.02006-10-11Nonehttp://www.smeshariki.ru08:10[Sunday]NaN29304.0СТСRussian FederationRUAsia/KamchatkaNaN21.0YouTubeNaNhttps://www.youtube.comNaNNaN262223.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/139/347681.jpghttps://static.tvmaze.com/uploads/images/original_untouched/139/347681.jpgNone1609105138https://api.tvmaze.com/shows/34010https://api.tvmaze.com/episodes/1993635NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11988858https://www.tvmaze.com/episodes/1988858/sim-for-you-4x20-chanyeols-episode-20Chanyeol's Episode 20420.0regular2020-12-1006:002020-12-09T21:00:00+00:0016.0NaN<p><b>#Seriously mouth watering #Camping Mates formed(?) #NPC On the Block</b></p>NaNhttps://api.tvmaze.com/episodes/198885841648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25Nonehttps://www.vlive.tv/video/121637[Monday, Wednesday, Friday]NaN29NaNNaNNaNNaNNaNNaN122.0V LIVENaNhttps://www.vlive.tv/homeNaNNaN361541.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpghttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1608499007https://api.tvmaze.com/shows/41648https://api.tvmaze.com/episodes/1988862NaNKorea, Republic ofKRAsia/SeoulNaNNaNNaNNaNNaNNaNNaNNaN
21983840https://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocekАленький цветочек2NaNsignificant_special2020-12-102020-12-10T00:00:00+00:0019.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198384010892https://www.tvmaze.com/shows/10892/troe-iz-prostokvasinoТрое из ПростоквашиноAnimationRussian[Children, Family]Running7.014.01978-06-10Nonehttps://okko.tv/serial/prostokvashino12:00[]7.589NaNNaNNaNNaNNaNNaN366.0OkkoNaNNoneNaNNaN255564.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/51/128137.jpghttps://static.tvmaze.com/uploads/images/original_untouched/51/128137.jpgNone1662063139https://api.tvmaze.com/shows/10892https://api.tvmaze.com/episodes/2382770NaNRussian FederationRUAsia/Kamchatkahttps://static.tvmaze.com/uploads/images/medium_landscape/288/721274.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/721274.jpgNaNNaNNaNNaNNaNNaN
31963997https://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-20Серия 2027.0regular2020-12-102020-12-10T00:00:00+00:0025.0NaNNoneNaNhttps://api.tvmaze.com/episodes/196399743722https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit257 причин, чтобы житьScriptedRussian[Drama, Comedy]EndedNaN24.02020-03-262021-01-21https://start.ru/watch/257-prichin-chtoby-zhit[Thursday]NaN73NaNNaNNaNNaNNaNNaN245.0StartNaNNoneNaNNaN377678.0tt11477416https://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpghttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>1653640849https://api.tvmaze.com/shows/43722https://api.tvmaze.com/episodes/1964003NaNRussian FederationRUAsia/KamchatkaNaNNaNNaNNaNNaNNaNNaNNaN
42053349https://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukovaИрина Безрукова17.0regular2020-12-1012:002020-12-10T00:00:00+00:0048.0NaNNoneNaNhttps://api.tvmaze.com/episodes/205334948683https://www.tvmaze.com/shows/48683/ispovedИсповедьDocumentaryRussian[]Ended48.047.02020-05-112022-08-30https://premier.one/collections/13412:00[Monday]NaN34NaNNaNNaNNaNNaNNaN281.0PremierNaNNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpghttps://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>1662030100https://api.tvmaze.com/shows/48683https://api.tvmaze.com/episodes/2383519NaNRussian FederationRUAsia/KamchatkaNaNNaNNaNNaNNaNNaNNaNNaN
51960727https://www.tvmaze.com/episodes/1960727/psih-1x06-opustosenieОпустошение16.0regular2020-12-1012:002020-12-10T00:00:00+00:0055.0NaNNoneNaNhttps://api.tvmaze.com/episodes/196072749280https://www.tvmaze.com/shows/49280/psihПсихScriptedRussian[Drama, Thriller]Ended62.062.02020-11-052020-12-24https://more.tv/psih[Thursday]NaN27NaNNaNNaNNaNNaNNaN246.0more.tvNaNNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/295/739859.jpghttps://static.tvmaze.com/uploads/images/original_untouched/295/739859.jpg<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>1653851744https://api.tvmaze.com/shows/49280https://api.tvmaze.com/episodes/1960733NaNRussian FederationRUAsia/Kamchatkahttps://static.tvmaze.com/uploads/images/medium_landscape/301/752691.jpghttps://static.tvmaze.com/uploads/images/original_untouched/301/752691.jpgNaNNaNNaNNaNNaNNaN
61954454https://www.tvmaze.com/episodes/1954454/serlok-v-rossii-1x08-serdce-holmsa-iiСердце Холмса II18.0regular2020-12-102020-12-10T00:00:00+00:0050.0NaNNone7.0https://api.tvmaze.com/episodes/195445449422https://www.tvmaze.com/shows/49422/serlok-v-rossiiШерлок в РоссииScriptedRussian[Crime, Mystery]To Be Determined52.051.02020-10-22Nonehttps://start.ru/watch/sherlok-v-rossii[Thursday]5.337NaNNaNNaNNaNNaNNaN245.0StartNaNNoneNaNNaNNaNtt11105888https://static.tvmaze.com/uploads/images/medium_portrait/278/695317.jpghttps://static.tvmaze.com/uploads/images/original_untouched/278/695317.jpgNone1643090522https://api.tvmaze.com/shows/49422https://api.tvmaze.com/episodes/1954454NaNRussian FederationRUAsia/KamchatkaNaNNaNNaNNaNNaNNaNNaNNaN
71981561https://www.tvmaze.com/episodes/1981561/volk-1x03-seria-03Серия 0313.0regular2020-12-102020-12-10T00:00:00+00:0048.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198156152181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN24NaNNaNNaNNaNNaNNaN281.0PremierNaNNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNRussian FederationRUAsia/KamchatkaNaNNaNNaNNaNNaNNaNNaNNaN
81981562https://www.tvmaze.com/episodes/1981562/volk-1x04-seria-04Серия 0414.0regular2020-12-102020-12-10T00:00:00+00:0049.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198156252181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN24NaNNaNNaNNaNNaNNaN281.0PremierNaNNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNRussian FederationRUAsia/KamchatkaNaNNaNNaNNaNNaNNaNNaNNaN
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Last rows

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1421982948https://www.tvmaze.com/episodes/1982948/snackmasters-2x01-quaversQuavers21.0regular2020-12-1020:002020-12-10T20:00:00+00:0060.0NaN<p>Fred Sirieix returns with the show in which leading chefs try to crack the secret techniques and recipes behind some of Britain's best-loved snacks. To begin, they are tasked with replicating a lunchbox legend - a packet of Quavers. However, it quickly becomes clear that these cheesy snacks are easy to take for granted, as Anna Haugh, who learned her trade from the likes of Gordon Ramsay, and technical chef Aktar Islam discover. Which one of them will get closest to the original look and taste of the classic, curly crisps?</p>NaNhttps://api.tvmaze.com/episodes/198294844135https://www.tvmaze.com/shows/44135/snackmastersSnackmastersRealityEnglish[Food]To Be Determined60.060.02019-10-01Nonehttps://www.channel4.com/programmes/snackmasters21:20[Tuesday]NaN42NaNNaNNaNNaNNaNNaN52.0All 4NaNhttps://www.channel4.com/NaNNaN370055.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/217/543201.jpghttps://static.tvmaze.com/uploads/images/original_untouched/217/543201.jpg<p>Fred Sirieix sets an extraordinary challenge for top chefs - to try to work out the secret techniques and recipes behind some of Britain's best-loved snacks, before creating their own replica.</p>1638283122https://api.tvmaze.com/shows/44135https://api.tvmaze.com/episodes/2063788NaNUnited KingdomGBEurope/LondonNaNNaNNaNNaNNaNNaNNaNNaN
1431982949https://www.tvmaze.com/episodes/1982949/snackmasters-2x02-dominosDominos22.0regular2020-12-1020:002020-12-10T20:00:00+00:0060.0NaN<p>Fred Sirieix presents as two leading chefs try to create a perfect replica of Domino's Pepperoni Passion pizza. It is the brand's top-selling pizza in the UK, but a world away from the high-class cuisine usually served by the two rivals - Jason Atherton, who holds four Michelin stars, and proud Italian Francesco Mazzei, who is famous for bringing the spicy 'Nduja sausage to the UK. Both chefs go to outlandish extremes to perfect their replicas, from spending massive sums on speciality ovens to conducting spy-missions at their local pizza parlours. stores. Only one can win, however, and that decision is made by a panel of Domino's bosses.</p>NaNhttps://api.tvmaze.com/episodes/198294944135https://www.tvmaze.com/shows/44135/snackmastersSnackmastersRealityEnglish[Food]To Be Determined60.060.02019-10-01Nonehttps://www.channel4.com/programmes/snackmasters21:20[Tuesday]NaN42NaNNaNNaNNaNNaNNaN52.0All 4NaNhttps://www.channel4.com/NaNNaN370055.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/217/543201.jpghttps://static.tvmaze.com/uploads/images/original_untouched/217/543201.jpg<p>Fred Sirieix sets an extraordinary challenge for top chefs - to try to work out the secret techniques and recipes behind some of Britain's best-loved snacks, before creating their own replica.</p>1638283122https://api.tvmaze.com/shows/44135https://api.tvmaze.com/episodes/2063788NaNUnited KingdomGBEurope/LondonNaNNaNNaNNaNNaNNaNNaNNaN
1441982951https://www.tvmaze.com/episodes/1982951/snackmasters-2x03-quality-streetQuality Street23.0regular2020-12-1020:002020-12-10T20:00:00+00:0060.0NaN<p>Fred Sirieix pits a leading chocolatier against a virtuoso pastry chef to replicate one of the nation's best-loved festive chocolate brands - Quality Street. As ever, the chefs must work out the secret techniques and recipes behind the household favourites before creating their own versions to be judged by a panel of Quality Street insiders and experts. But with so many to choose from, will they be expected to remake the green triangle, the orange crunch or the iconic purple one?</p>NaNhttps://api.tvmaze.com/episodes/198295144135https://www.tvmaze.com/shows/44135/snackmastersSnackmastersRealityEnglish[Food]To Be Determined60.060.02019-10-01Nonehttps://www.channel4.com/programmes/snackmasters21:20[Tuesday]NaN42NaNNaNNaNNaNNaNNaN52.0All 4NaNhttps://www.channel4.com/NaNNaN370055.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/217/543201.jpghttps://static.tvmaze.com/uploads/images/original_untouched/217/543201.jpg<p>Fred Sirieix sets an extraordinary challenge for top chefs - to try to work out the secret techniques and recipes behind some of Britain's best-loved snacks, before creating their own replica.</p>1638283122https://api.tvmaze.com/shows/44135https://api.tvmaze.com/episodes/2063788NaNUnited KingdomGBEurope/LondonNaNNaNNaNNaNNaNNaNNaNNaN
1451972313https://www.tvmaze.com/episodes/1972313/tin-star-3x01-homecomingHomecoming31.0regular2020-12-1021:002020-12-10T21:00:00+00:0051.0NaN<p>Jack arrives in Liverpool, hoping to reunite with Angela and Anna, and with a clear mission.</p>8.9https://api.tvmaze.com/episodes/197231316078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/287/718607.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718607.jpgNaNNaNNaNNaNNaNNaN
1461972774https://www.tvmaze.com/episodes/1972774/tin-star-3x02-commitmentCommitment32.0regular2020-12-1021:002020-12-10T21:00:00+00:0053.0NaN<p>Angela comes face-to-face with a very personal name on the list. The Worths go on a wild night out.</p>8.5https://api.tvmaze.com/episodes/197277416078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/287/718608.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718608.jpgNaNNaNNaNNaNNaNNaN
1471972775https://www.tvmaze.com/episodes/1972775/tin-star-3x03-loves-young-dreamLoves Young Dream33.0regular2020-12-1021:002020-12-10T21:00:00+00:0044.0NaN<p>Michael and Catherine clash over their next move. The Worths' new plan causes problems for Anna.</p>8.5https://api.tvmaze.com/episodes/197277516078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/288/720553.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/720553.jpgNaNNaNNaNNaNNaNNaN
1481972776https://www.tvmaze.com/episodes/1972776/tin-star-3x04-collateralCollateral34.0regular2020-12-1021:002020-12-10T21:00:00+00:0049.0NaN<p>A conflicted Lunt is forced to make a choice with potentially deadly consequences.</p>8.6https://api.tvmaze.com/episodes/197277616078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/288/720554.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/720554.jpgNaNNaNNaNNaNNaNNaN
1491972777https://www.tvmaze.com/episodes/1972777/tin-star-3x05-all-roadsAll Roads...35.0regular2020-12-1021:002020-12-10T21:00:00+00:0048.0NaN<p>The fallout from the Worths' visit continues and Jack takes solace in an unexpected place.</p>8.9https://api.tvmaze.com/episodes/197277716078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/288/720555.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/720555.jpgNaNNaNNaNNaNNaNNaN
1501972778https://www.tvmaze.com/episodes/1972778/tin-star-3x06-come-to-the-edgeCome to the Edge36.0regular2020-12-1021:002020-12-10T21:00:00+00:0049.0NaN<p>Jack and Angela celebrate their long-awaited wedding. A split-second decision has fatal repercussions.</p>8.9https://api.tvmaze.com/episodes/197277816078https://www.tvmaze.com/shows/16078/tin-starTin StarScriptedEnglish[Drama, Crime, Thriller]EndedNaN58.02017-09-072020-12-10https://www.sky.com/watch/channel/sky-atlantic/tin-star[]7.193NaNNaNNaNNaNNaNNaN117.0Sky GoNaNhttps://www.sky.com/watch/sky-go/windowsNaNNaN325720.0tt4607112https://static.tvmaze.com/uploads/images/medium_portrait/284/710858.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710858.jpg<p>A contemporary take on the Western genre, <b>Tin Star</b> tells the story of Jim Worth, an ex-Metropolitan Police detective who starts a new life in Canada's Rocky Mountains.</p><p>Set in a remote Canadian mountain town, where the opening of a new oil refinery fronted by the mysterious Mrs. Bradshaw introduces the small town to a world of drug-dealers, prostitution and organized crime. Police chief Jim Worth is thirsty for revenge after the murder of a member of his family.</p>1610909761https://api.tvmaze.com/shows/16078https://api.tvmaze.com/episodes/1972778NaNUnited KingdomGBEurope/Londonhttps://static.tvmaze.com/uploads/images/medium_landscape/293/733097.jpghttps://static.tvmaze.com/uploads/images/original_untouched/293/733097.jpgNaNNaNNaNNaNNaNNaN
1512042196https://www.tvmaze.com/episodes/2042196/cage-warriors-2020-12-10-cage-warriors-117Cage Warriors 11720206.0regular2020-12-1021:002020-12-11T02:00:00+00:00120.0NaNNoneNaNhttps://api.tvmaze.com/episodes/204219650594https://www.tvmaze.com/shows/50594/cage-warriorsCage WarriorsSportsEnglish[]Running120.0120.02002-07-27Nonehttps://cagewarriors.com21:00[Friday]NaN6NaNNaNNaNNaNNaNNaN45.0UFC Fight PassNaNNoneNaNNaN388898.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/401/1004364.jpghttps://static.tvmaze.com/uploads/images/original_untouched/401/1004364.jpg<p><b>Cage Warriors</b> is a mixed martial arts promotion, based in London. The promotion was established in 2001 and staged its first MMA event in London in July, 2002. </p>1659372851https://api.tvmaze.com/shows/50594https://api.tvmaze.com/episodes/2369043NaNUnited StatesUSAmerica/New_Yorkhttps://static.tvmaze.com/uploads/images/medium_landscape/402/1005621.jpghttps://static.tvmaze.com/uploads/images/original_untouched/402/1005621.jpgNaNNaNNaNNaNNaNNaN